chore(deps): bump the uv group across 2 directories with 13 updates

---
updated-dependencies:
- dependency-name: aiohttp
  dependency-version: 3.13.3
  dependency-type: indirect
  dependency-group: uv
- dependency-name: filelock
  dependency-version: 3.20.3
  dependency-type: indirect
  dependency-group: uv
- dependency-name: fonttools
  dependency-version: 4.60.2
  dependency-type: indirect
  dependency-group: uv
- dependency-name: protobuf
  dependency-version: 6.33.5
  dependency-type: indirect
  dependency-group: uv
- dependency-name: starlette
  dependency-version: 0.49.1
  dependency-type: indirect
  dependency-group: uv
- dependency-name: urllib3
  dependency-version: 2.6.3
  dependency-type: indirect
  dependency-group: uv
- dependency-name: aiohttp
  dependency-version: 3.13.3
  dependency-type: indirect
  dependency-group: uv
- dependency-name: protobuf
  dependency-version: 6.33.5
  dependency-type: indirect
  dependency-group: uv
- dependency-name: filelock
  dependency-version: 3.20.3
  dependency-type: indirect
  dependency-group: uv
- dependency-name: fonttools
  dependency-version: 4.60.2
  dependency-type: indirect
  dependency-group: uv
- dependency-name: starlette
  dependency-version: 0.49.1
  dependency-type: indirect
  dependency-group: uv
- dependency-name: urllib3
  dependency-version: 2.6.3
  dependency-type: indirect
  dependency-group: uv
- dependency-name: sentencepiece
  dependency-version: 0.2.1
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: aiohttp
  dependency-version: 3.13.3
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: filelock
  dependency-version: 3.20.3
  dependency-type: indirect
  dependency-group: uv
- dependency-name: fonttools
  dependency-version: 4.60.2
  dependency-type: indirect
  dependency-group: uv
- dependency-name: protobuf
  dependency-version: 6.33.5
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: starlette
  dependency-version: 0.49.1
  dependency-type: indirect
  dependency-group: uv
- dependency-name: urllib3
  dependency-version: 2.6.3
  dependency-type: indirect
  dependency-group: uv
- dependency-name: aiohttp
  dependency-version: 3.13.3
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: sentencepiece
  dependency-version: 0.2.1
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: protobuf
  dependency-version: 6.33.5
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: llama-index
  dependency-version: 0.13.0
  dependency-type: direct:production
  dependency-group: uv
- dependency-name: black
  dependency-version: 24.3.0
  dependency-type: direct:development
  dependency-group: uv
- dependency-name: filelock
  dependency-version: 3.20.3
  dependency-type: indirect
  dependency-group: uv
- dependency-name: fonttools
  dependency-version: 4.60.2
  dependency-type: indirect
  dependency-group: uv
- dependency-name: llama-index-core
  dependency-version: 0.13.6
  dependency-type: indirect
  dependency-group: uv
- dependency-name: marshmallow
  dependency-version: 3.26.2
  dependency-type: indirect
  dependency-group: uv
- dependency-name: pyasn1
  dependency-version: 0.6.2
  dependency-type: indirect
  dependency-group: uv
- dependency-name: pypdf
  dependency-version: 6.6.2
  dependency-type: indirect
  dependency-group: uv
- dependency-name: starlette
  dependency-version: 0.49.1
  dependency-type: indirect
  dependency-group: uv
- dependency-name: urllib3
  dependency-version: 2.6.3
  dependency-type: indirect
  dependency-group: uv
...

Signed-off-by: dependabot[bot] <support@github.com>

.github/workflows/deploy.yml

@@ -1,90 +0,0 @@
-name: Deploy to Amazon ECS
-
-on: [workflow_dispatch]
-
-env:
-  # 950402358378.dkr.ecr.us-east-1.amazonaws.com/reflector
-  AWS_REGION: us-east-1
-  ECR_REPOSITORY: reflector
-
-jobs:
-  build:
-    strategy:
-      matrix:
-        include:
-          - platform: linux/amd64
-            runner: linux-amd64
-            arch: amd64
-          - platform: linux/arm64
-            runner: linux-arm64
-            arch: arm64
-
-    runs-on: ${{ matrix.runner }}
-
-    permissions:
-      contents: read
-
-    outputs:
-      registry: ${{ steps.login-ecr.outputs.registry }}
-
-    steps:
-      - uses: actions/checkout@v4
-
-      - name: Configure AWS credentials
-        uses: aws-actions/configure-aws-credentials@v4
-        with:
-          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-          aws-region: ${{ env.AWS_REGION }}
-
-      - name: Login to Amazon ECR
-        id: login-ecr
-        uses: aws-actions/amazon-ecr-login@v2
-
-      - name: Set up Docker Buildx
-        uses: docker/setup-buildx-action@v3
-
-      - name: Build and push ${{ matrix.arch }}
-        uses: docker/build-push-action@v5
-        with:
-          context: server
-          platforms: ${{ matrix.platform }}
-          push: true
-          tags: ${{ steps.login-ecr.outputs.registry }}/${{ env.ECR_REPOSITORY }}:latest-${{ matrix.arch }}
-          cache-from: type=gha,scope=${{ matrix.arch }}
-          cache-to: type=gha,mode=max,scope=${{ matrix.arch }}
-          github-token: ${{ secrets.GHA_CACHE_TOKEN }}
-          provenance: false
-
-  create-manifest:
-    runs-on: ubuntu-latest
-    needs: [build]
-
-    permissions:
-      deployments: write
-      contents: read
-
-    steps:
-      - name: Configure AWS credentials
-        uses: aws-actions/configure-aws-credentials@v4
-        with:
-          aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
-          aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
-          aws-region: ${{ env.AWS_REGION }}
-
-      - name: Login to Amazon ECR
-        uses: aws-actions/amazon-ecr-login@v2
-
-      - name: Create and push multi-arch manifest
-        run: |
-          # Get the registry URL (since we can't easily access job outputs in matrix)
-          ECR_REGISTRY=$(aws ecr describe-registry --query 'registryId' --output text).dkr.ecr.${{ env.AWS_REGION }}.amazonaws.com
-
-          docker manifest create \
-            $ECR_REGISTRY/${{ env.ECR_REPOSITORY }}:latest \
-            $ECR_REGISTRY/${{ env.ECR_REPOSITORY }}:latest-amd64 \
-            $ECR_REGISTRY/${{ env.ECR_REPOSITORY }}:latest-arm64
-
-          docker manifest push $ECR_REGISTRY/${{ env.ECR_REPOSITORY }}:latest
-
-          echo "✅ Multi-arch manifest pushed: $ECR_REGISTRY/${{ env.ECR_REPOSITORY }}:latest"

.github/workflows/dockerhub-backend.yml

@@ -1,35 +1,31 @@
-name: Build and Push Frontend Docker Image
+name: Build and Push Backend Docker Image (Docker Hub)
 
 on:
   push:
-    branches:
-      - main
-    paths:
-      - 'www/**'
-      - '.github/workflows/docker-frontend.yml'
+    tags:
+      - "v*"
   workflow_dispatch:
 
 env:
-  REGISTRY: ghcr.io
-  IMAGE_NAME: ${{ github.repository }}-frontend
+  REGISTRY: docker.io
+  IMAGE_NAME: monadicalsas/reflector-backend
 
 jobs:
   build-and-push:
     runs-on: ubuntu-latest
     permissions:
       contents: read
-      packages: write
 
     steps:
       - name: Checkout repository
         uses: actions/checkout@v4
 
-      - name: Log in to GitHub Container Registry
+      - name: Log in to Docker Hub
         uses: docker/login-action@v3
         with:
           registry: ${{ env.REGISTRY }}
-          username: ${{ github.actor }}
-          password: ${{ secrets.GITHUB_TOKEN }}
+          username: monadicalsas
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
 
       - name: Extract metadata
         id: meta
@@ -38,7 +34,7 @@ jobs:
           images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
           tags: |
             type=ref,event=branch
-            type=sha,prefix={{branch}}-
+            type=ref,event=tag
             type=raw,value=latest,enable={{is_default_branch}}
 
       - name: Set up Docker Buildx
@@ -47,11 +43,11 @@ jobs:
       - name: Build and push Docker image
         uses: docker/build-push-action@v5
         with:
-          context: ./www
-          file: ./www/Dockerfile
+          context: ./server
+          file: ./server/Dockerfile
           push: true
           tags: ${{ steps.meta.outputs.tags }}
           labels: ${{ steps.meta.outputs.labels }}
           cache-from: type=gha
           cache-to: type=gha,mode=max
-          platforms: linux/amd64,linux/arm64
+          platforms: linux/amd64,linux/arm64

.github/workflows/dockerhub-frontend.yml

@@ -0,0 +1,70 @@
+name: Build and Push Frontend Docker Image
+
+on:
+  push:
+    tags:
+      - "v*"
+  workflow_dispatch:
+
+env:
+  REGISTRY: docker.io
+  IMAGE_NAME: monadicalsas/reflector-frontend
+
+jobs:
+  build-and-push:
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Log in to Docker Hub
+        uses: docker/login-action@v3
+        with:
+          registry: ${{ env.REGISTRY }}
+          username: monadicalsas
+          password: ${{ secrets.DOCKERHUB_TOKEN }}
+
+      - name: Extract metadata
+        id: meta
+        uses: docker/metadata-action@v5
+        with:
+          images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
+          tags: |
+            type=ref,event=branch
+            type=ref,event=tag
+            type=raw,value=latest,enable={{is_default_branch}}
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+
+      - name: Set up Docker Buildx
+        uses: docker/setup-buildx-action@v3
+
+      - name: Build and push Docker image
+        uses: docker/build-push-action@v5
+        with:
+          context: ./www
+          file: ./www/Dockerfile
+          push: true
+          tags: ${{ steps.meta.outputs.tags }}
+          labels: ${{ steps.meta.outputs.labels }}
+          cache-from: type=gha
+          cache-to: type=gha,mode=max
+          platforms: linux/amd64,linux/arm64
+
+  deploy:
+    needs: build-and-push
+    runs-on: ubuntu-latest
+    if: success()
+    strategy:
+      matrix:
+        environment: [reflector-monadical, reflector-media]
+    environment: ${{ matrix.environment }}
+    steps:
+      - name: Trigger Coolify deployment
+        run: |
+          curl -X POST "${{ secrets.COOLIFY_WEBHOOK_URL }}" \
+            -H "Content-Type: application/json" \
+            -H "Authorization: Bearer ${{ secrets.COOLIFY_WEBHOOK_TOKEN }}" \
+            -f || (echo "Failed to trigger Coolify deployment for ${{ matrix.environment }}" && exit 1)

.gitignore

@@ -1,6 +1,8 @@
 .DS_Store
 server/.env
+server/.env.production
 .env
+Caddyfile
 server/exportdanswer
 .vercel
 .env*.local
@@ -18,3 +20,6 @@ CLAUDE.local.md
 www/.env.development
 www/.env.production
 .playwright-mcp
+docs/pnpm-lock.yaml
+.secrets
+opencode.json

.gitleaksignore

@@ -1 +1,6 @@
 b9d891d3424f371642cb032ecfd0e2564470a72c:server/tests/test_transcripts_recording_deletion.py:generic-api-key:15
+docs/docs/installation/auth-setup.md:curl-auth-header:250
+docs/docs/installation/daily-setup.md:curl-auth-header:277
+gpu/self_hosted/DEV_SETUP.md:curl-auth-header:74
+gpu/self_hosted/DEV_SETUP.md:curl-auth-header:83
+server/reflector/worker/process.py:generic-api-key:465

.secrets.example

@@ -0,0 +1,24 @@
+# Example secrets file for GitHub Actions workflows
+# Copy this to .secrets and fill in your values
+# These secrets should be configured in GitHub repository settings:
+# Settings > Secrets and variables > Actions
+
+# DockerHub Configuration (required for frontend and backend deployment)
+# Create a Docker Hub access token at https://hub.docker.com/settings/security
+# Username: monadicalsas
+DOCKERHUB_TOKEN=your-dockerhub-access-token
+
+# GitHub Token (required for frontend and backend deployment)
+# Used by docker/metadata-action for extracting image metadata
+# Can use the default GITHUB_TOKEN or create a personal access token
+GITHUB_TOKEN=your-github-token-or-use-default-GITHUB_TOKEN
+
+# Coolify Deployment Webhook (required for frontend deployment)
+# Used to trigger automatic deployment after image push
+# Configure these secrets in GitHub Environments:
+# Each environment should have:
+#   - COOLIFY_WEBHOOK_URL: The webhook URL for that specific deployment
+#   - COOLIFY_WEBHOOK_TOKEN: The webhook token (can be the same for both if using same token)
+
+# Optional: GitHub Actions Cache Token (for local testing with act)
+GHA_CACHE_TOKEN=your-github-token-or-empty

CHANGELOG.md

@@ -1,5 +1,213 @@
 # Changelog
 
+## [0.31.0](https://github.com/Monadical-SAS/reflector/compare/v0.30.0...v0.31.0) (2026-01-23)
+
+
+### Features
+
+* mixdown optional ([#834](https://github.com/Monadical-SAS/reflector/issues/834)) ([fc3ef6c](https://github.com/Monadical-SAS/reflector/commit/fc3ef6c8933231c731fad84e7477a476a6220a5e))
+
+## [0.30.0](https://github.com/Monadical-SAS/reflector/compare/v0.29.0...v0.30.0) (2026-01-23)
+
+
+### Features
+
+* brady bunch ([#816](https://github.com/Monadical-SAS/reflector/issues/816)) ([6c175a1](https://github.com/Monadical-SAS/reflector/commit/6c175a11d8a3745095bfad06a4ad3ccdfd278433))
+
+## [0.29.0](https://github.com/Monadical-SAS/reflector/compare/v0.28.1...v0.29.0) (2026-01-21)
+
+
+### Features
+
+* set hatchet as default for multitracks ([#822](https://github.com/Monadical-SAS/reflector/issues/822)) ([c723752](https://github.com/Monadical-SAS/reflector/commit/c723752b7e15aa48a41ad22856f147a5517d3f46))
+
+## [0.28.1](https://github.com/Monadical-SAS/reflector/compare/v0.28.0...v0.28.1) (2026-01-21)
+
+
+### Bug Fixes
+
+* ics non-sync bugfix ([#823](https://github.com/Monadical-SAS/reflector/issues/823)) ([23d2bc2](https://github.com/Monadical-SAS/reflector/commit/23d2bc283d4d02187b250d2055103e0374ee93d6))
+
+## [0.28.0](https://github.com/Monadical-SAS/reflector/compare/v0.27.0...v0.28.0) (2026-01-20)
+
+
+### Features
+
+* worker affinity ([#819](https://github.com/Monadical-SAS/reflector/issues/819)) ([3b6540e](https://github.com/Monadical-SAS/reflector/commit/3b6540eae5b597449f98661bdf15483b77be3268))
+
+## [0.27.0](https://github.com/Monadical-SAS/reflector/compare/v0.26.0...v0.27.0) (2025-12-26)
+
+
+### Features
+
+* devex/hatchet log progress track ([#813](https://github.com/Monadical-SAS/reflector/issues/813)) ([2d0df48](https://github.com/Monadical-SAS/reflector/commit/2d0df487674e5486208cd599e3338ebff8b6e470))
+
+
+### Bug Fixes
+
+* webhook parity, pipeline rename, waveform constant fix ([#806](https://github.com/Monadical-SAS/reflector/issues/806)) ([5f7b1ff](https://github.com/Monadical-SAS/reflector/commit/5f7b1ff1a68ebbb907684c7c5f55c1f82dac8550))
+
+## [0.26.0](https://github.com/Monadical-SAS/reflector/compare/v0.25.0...v0.26.0) (2025-12-23)
+
+
+### Features
+
+* parallelize hatchet ([#804](https://github.com/Monadical-SAS/reflector/issues/804)) ([594bcc0](https://github.com/Monadical-SAS/reflector/commit/594bcc09e0ca744163de2f1525ebbf7c52a68448))
+
+## [0.25.0](https://github.com/Monadical-SAS/reflector/compare/v0.24.0...v0.25.0) (2025-12-22)
+
+
+### Features
+
+* consent disable feature ([#799](https://github.com/Monadical-SAS/reflector/issues/799)) ([2257834](https://github.com/Monadical-SAS/reflector/commit/225783496f2e265d5cb58e3539a20bf6b55589b8))
+* durable ([#794](https://github.com/Monadical-SAS/reflector/issues/794)) ([1dac999](https://github.com/Monadical-SAS/reflector/commit/1dac999b56997582ce400e7d56e915adc1e4728d))
+* increase daily recording max duration ([#801](https://github.com/Monadical-SAS/reflector/issues/801)) ([f580b99](https://github.com/Monadical-SAS/reflector/commit/f580b996eef49cce16433c505abfc6454dd45de1))
+
+
+### Bug Fixes
+
+* logout redirect ([#802](https://github.com/Monadical-SAS/reflector/issues/802)) ([f0ee7b5](https://github.com/Monadical-SAS/reflector/commit/f0ee7b531a0911f214ccbb84d399e9a6c9b700c0))
+
+## [0.24.0](https://github.com/Monadical-SAS/reflector/compare/v0.23.2...v0.24.0) (2025-12-18)
+
+
+### Features
+
+* identify action items ([#790](https://github.com/Monadical-SAS/reflector/issues/790)) ([964cd78](https://github.com/Monadical-SAS/reflector/commit/964cd78bb699d83d012ae4b8c96565df25b90a5d))
+
+
+### Bug Fixes
+
+* automatically reprocess daily recordings ([#797](https://github.com/Monadical-SAS/reflector/issues/797)) ([5f458aa](https://github.com/Monadical-SAS/reflector/commit/5f458aa4a7ec3d00ca5ec49d62fcc8ad232b138e))
+* daily video optimisation ([#789](https://github.com/Monadical-SAS/reflector/issues/789)) ([16284e1](https://github.com/Monadical-SAS/reflector/commit/16284e1ac3faede2b74f0d91b50c0b5612af2c35))
+* main menu login ([#800](https://github.com/Monadical-SAS/reflector/issues/800)) ([0bc971b](https://github.com/Monadical-SAS/reflector/commit/0bc971ba966a52d719c8c240b47dc7b3bdea4391))
+* retry on workflow timeout ([#798](https://github.com/Monadical-SAS/reflector/issues/798)) ([5f7dfad](https://github.com/Monadical-SAS/reflector/commit/5f7dfadabd3e8017406ad3720ba495a59963ee34))
+
+## [0.23.2](https://github.com/Monadical-SAS/reflector/compare/v0.23.1...v0.23.2) (2025-12-11)
+
+
+### Bug Fixes
+
+* build on push tags ([#785](https://github.com/Monadical-SAS/reflector/issues/785)) ([d7f140b](https://github.com/Monadical-SAS/reflector/commit/d7f140b7d1f4660d5da7a0da1357f68869e0b5cd))
+
+## [0.23.1](https://github.com/Monadical-SAS/reflector/compare/v0.23.0...v0.23.1) (2025-12-11)
+
+
+### Bug Fixes
+
+* populate room_name in transcript GET endpoint ([#783](https://github.com/Monadical-SAS/reflector/issues/783)) ([0eba147](https://github.com/Monadical-SAS/reflector/commit/0eba1470181c7b9e0a79964a1ef28c09bcbdd9d7))
+
+## [0.23.0](https://github.com/Monadical-SAS/reflector/compare/v0.22.4...v0.23.0) (2025-12-10)
+
+
+### Features
+
+* dockerhub ci ([#772](https://github.com/Monadical-SAS/reflector/issues/772)) ([00549f1](https://github.com/Monadical-SAS/reflector/commit/00549f153ade922cf4cb6c5358a7d11a39c426d2))
+* llm retries ([#739](https://github.com/Monadical-SAS/reflector/issues/739)) ([61f0e29](https://github.com/Monadical-SAS/reflector/commit/61f0e29d4c51eab54ee67af92141fbb171e8ccaa))
+
+
+### Bug Fixes
+
+* celery inspect bug sidestep in restart script ([#766](https://github.com/Monadical-SAS/reflector/issues/766)) ([ec17ed7](https://github.com/Monadical-SAS/reflector/commit/ec17ed7b587cf6ee143646baaee67a7c017044d4))
+* deploy frontend to coolify ([#779](https://github.com/Monadical-SAS/reflector/issues/779)) ([91650ec](https://github.com/Monadical-SAS/reflector/commit/91650ec65f65713faa7ee0dcfb75af427b7c4ba0))
+* hide rooms settings instead of disabling ([#763](https://github.com/Monadical-SAS/reflector/issues/763)) ([3ad78be](https://github.com/Monadical-SAS/reflector/commit/3ad78be7628c0d029296b301a0e87236c76b7598))
+* return participant emails from transcript endpoint ([#769](https://github.com/Monadical-SAS/reflector/issues/769)) ([d3a5cd1](https://github.com/Monadical-SAS/reflector/commit/d3a5cd12d2d0d9c32af2d5bd9322e030ef69b85d))
+
+## [0.22.4](https://github.com/Monadical-SAS/reflector/compare/v0.22.3...v0.22.4) (2025-12-02)
+
+
+### Bug Fixes
+
+* Multitrack mixdown optimisation 2 ([#764](https://github.com/Monadical-SAS/reflector/issues/764)) ([bd5df1c](https://github.com/Monadical-SAS/reflector/commit/bd5df1ce2ebf35d7f3413b295e56937a9a28ef7b))
+
+## [0.22.3](https://github.com/Monadical-SAS/reflector/compare/v0.22.2...v0.22.3) (2025-12-02)
+
+
+### Bug Fixes
+
+* align daily room settings ([#759](https://github.com/Monadical-SAS/reflector/issues/759)) ([28f87c0](https://github.com/Monadical-SAS/reflector/commit/28f87c09dc459846873d0dde65b03e3d7b2b9399))
+
+## [0.22.2](https://github.com/Monadical-SAS/reflector/compare/v0.22.1...v0.22.2) (2025-12-02)
+
+
+### Bug Fixes
+
+* daily auto refresh fix ([#755](https://github.com/Monadical-SAS/reflector/issues/755)) ([fe47c46](https://github.com/Monadical-SAS/reflector/commit/fe47c46489c5aa0cc538109f7559cc9accb35c01))
+* Skip mixdown for multitrack ([#760](https://github.com/Monadical-SAS/reflector/issues/760)) ([b51b7aa](https://github.com/Monadical-SAS/reflector/commit/b51b7aa9176c1a53ba57ad99f5e976c804a1e80c))
+
+## [0.22.1](https://github.com/Monadical-SAS/reflector/compare/v0.22.0...v0.22.1) (2025-11-27)
+
+
+### Bug Fixes
+
+* participants update from daily ([#749](https://github.com/Monadical-SAS/reflector/issues/749)) ([7f0b728](https://github.com/Monadical-SAS/reflector/commit/7f0b728991c1b9f9aae702c96297eae63b561ef5))
+
+## [0.22.0](https://github.com/Monadical-SAS/reflector/compare/v0.21.0...v0.22.0) (2025-11-26)
+
+
+### Features
+
+* Multitrack segmentation ([#747](https://github.com/Monadical-SAS/reflector/issues/747)) ([d63040e](https://github.com/Monadical-SAS/reflector/commit/d63040e2fdc07e7b272e85a39eb2411cd6a14798))
+
+## [0.21.0](https://github.com/Monadical-SAS/reflector/compare/v0.20.0...v0.21.0) (2025-11-26)
+
+
+### Features
+
+* add transcript format parameter to GET endpoint ([#709](https://github.com/Monadical-SAS/reflector/issues/709)) ([f6ca075](https://github.com/Monadical-SAS/reflector/commit/f6ca07505f34483b02270a2ef3bd809e9d2e1045))
+
+## [0.20.0](https://github.com/Monadical-SAS/reflector/compare/v0.19.0...v0.20.0) (2025-11-25)
+
+
+### Features
+
+* link transcript participants ([#737](https://github.com/Monadical-SAS/reflector/issues/737)) ([9bec398](https://github.com/Monadical-SAS/reflector/commit/9bec39808fc6322612d8b87e922a6f7901fc01c1))
+* transcript restart script ([#742](https://github.com/Monadical-SAS/reflector/issues/742)) ([86d5e26](https://github.com/Monadical-SAS/reflector/commit/86d5e26224bb55a0f1cc785aeda52065bb92ee6f))
+
+## [0.19.0](https://github.com/Monadical-SAS/reflector/compare/v0.18.0...v0.19.0) (2025-11-25)
+
+
+### Features
+
+* dailyco api module ([#725](https://github.com/Monadical-SAS/reflector/issues/725)) ([4287f8b](https://github.com/Monadical-SAS/reflector/commit/4287f8b8aeee60e51db7539f4dcbda5f6e696bd8))
+* dailyco poll ([#730](https://github.com/Monadical-SAS/reflector/issues/730)) ([8e438ca](https://github.com/Monadical-SAS/reflector/commit/8e438ca285152bd48fdc42767e706fb448d3525c))
+* multitrack cli ([#735](https://github.com/Monadical-SAS/reflector/issues/735)) ([11731c9](https://github.com/Monadical-SAS/reflector/commit/11731c9d38439b04e93b1c3afbd7090bad11a11f))
+
+
+### Bug Fixes
+
+* default platform fix ([#736](https://github.com/Monadical-SAS/reflector/issues/736)) ([c442a62](https://github.com/Monadical-SAS/reflector/commit/c442a627873ca667656eeaefb63e54ab10b8d19e))
+* parakeet vad not getting the end timestamp ([#728](https://github.com/Monadical-SAS/reflector/issues/728)) ([18ed713](https://github.com/Monadical-SAS/reflector/commit/18ed7133693653ef4ddac6c659a8c14b320d1657))
+* start raw tracks recording ([#729](https://github.com/Monadical-SAS/reflector/issues/729)) ([3e47c2c](https://github.com/Monadical-SAS/reflector/commit/3e47c2c0573504858e0d2e1798b6ed31f16b4a5d))
+
+## [0.18.0](https://github.com/Monadical-SAS/reflector/compare/v0.17.0...v0.18.0) (2025-11-14)
+
+
+### Features
+
+* daily QOL: participants dictionary ([#721](https://github.com/Monadical-SAS/reflector/issues/721)) ([b20cad7](https://github.com/Monadical-SAS/reflector/commit/b20cad76e69fb6a76405af299a005f1ddcf60eae))
+
+
+### Bug Fixes
+
+* add proccessing page to file upload and reprocessing ([#650](https://github.com/Monadical-SAS/reflector/issues/650)) ([28a7258](https://github.com/Monadical-SAS/reflector/commit/28a7258e45317b78e60e6397be2bc503647eaace))
+* copy transcript ([#674](https://github.com/Monadical-SAS/reflector/issues/674)) ([a9a4f32](https://github.com/Monadical-SAS/reflector/commit/a9a4f32324f66c838e081eee42bb9502f38c1db1))
+
+## [0.17.0](https://github.com/Monadical-SAS/reflector/compare/v0.16.0...v0.17.0) (2025-11-13)
+
+
+### Features
+
+* add API key management UI ([#716](https://github.com/Monadical-SAS/reflector/issues/716)) ([372202b](https://github.com/Monadical-SAS/reflector/commit/372202b0e1a86823900b0aa77be1bfbc2893d8a1))
+* daily.co support as alternative to whereby ([#691](https://github.com/Monadical-SAS/reflector/issues/691)) ([1473fd8](https://github.com/Monadical-SAS/reflector/commit/1473fd82dc472c394cbaa2987212ad662a74bcac))
+
+## [0.16.0](https://github.com/Monadical-SAS/reflector/compare/v0.15.0...v0.16.0) (2025-10-24)
+
+
+### Features
+
+* search date filter ([#710](https://github.com/Monadical-SAS/reflector/issues/710)) ([962c40e](https://github.com/Monadical-SAS/reflector/commit/962c40e2b6428ac42fd10aea926782d7a6f3f902))
+
 ## [0.15.0](https://github.com/Monadical-SAS/reflector/compare/v0.14.0...v0.15.0) (2025-10-20)
 
 

Caddyfile.example

@@ -0,0 +1,22 @@
+# Reflector Caddyfile
+# Replace example.com with your actual domains
+# CORS is handled by the backend - Caddy just proxies
+#
+# For environment variable substitution, set:
+#   FRONTEND_DOMAIN=app.example.com
+#   API_DOMAIN=api.example.com
+#   AUTHENTIK_DOMAIN=authentik.example.com  (optional, for authentication)
+# Or edit this file directly with your domains.
+
+{$FRONTEND_DOMAIN:app.example.com} {
+	reverse_proxy web:3000
+}
+
+{$API_DOMAIN:api.example.com} {
+	reverse_proxy server:1250
+}
+
+# Uncomment if using Authentik for authentication (see auth-setup.md)
+# {$AUTHENTIK_DOMAIN:authentik.example.com} {
+# 	reverse_proxy authentik-server-1:9000
+# }

README.md

@@ -168,6 +168,12 @@ You can manually process an audio file by calling the process tool:
 uv run python -m reflector.tools.process path/to/audio.wav
 ```
 
+## Reprocessing any transcription
+
+```bash
+uv run -m reflector.tools.process_transcript 81ec38d1-9dd7-43d2-b3f8-51f4d34a07cd --sync
+```
+
 ## Build-time env variables
 
 Next.js projects are more used to NEXT_PUBLIC_ prefixed buildtime vars. We don't have those for the reason we need to serve a ccustomizable prebuild docker container.

docker-compose.prod.yml

@@ -1,28 +1,61 @@
-# Production Docker Compose configuration for Frontend
+# Production Docker Compose configuration
 # Usage: docker compose -f docker-compose.prod.yml up -d
+#
+# Prerequisites:
+# 1. Copy .env.example to .env and configure for both server/ and www/
+# 2. Copy Caddyfile.example to Caddyfile and edit with your domains
+# 3. Deploy Modal GPU functions (see gpu/modal_deployments/deploy-all.sh)
 
 services:
   web:
-    build:
-      context: ./www
-      dockerfile: Dockerfile
-    image: reflector-frontend:latest
+    image: monadicalsas/reflector-frontend:latest
+    restart: unless-stopped
+    env_file:
+      - ./www/.env
+    pull_policy: always
     environment:
-      - KV_URL=${KV_URL:-redis://redis:6379}
-      - SITE_URL=${SITE_URL}
-      - API_URL=${API_URL}
-      - WEBSOCKET_URL=${WEBSOCKET_URL}
-      - NEXTAUTH_URL=${NEXTAUTH_URL:-http://localhost:3000}
-      - NEXTAUTH_SECRET=${NEXTAUTH_SECRET:-changeme-in-production}
-      - AUTHENTIK_ISSUER=${AUTHENTIK_ISSUER}
-      - AUTHENTIK_CLIENT_ID=${AUTHENTIK_CLIENT_ID}
-      - AUTHENTIK_CLIENT_SECRET=${AUTHENTIK_CLIENT_SECRET}
-      - AUTHENTIK_REFRESH_TOKEN_URL=${AUTHENTIK_REFRESH_TOKEN_URL}
-      - SENTRY_DSN=${SENTRY_DSN}
-      - SENTRY_IGNORE_API_RESOLUTION_ERROR=${SENTRY_IGNORE_API_RESOLUTION_ERROR:-1}
+      - KV_URL=redis://redis:6379
     depends_on:
       - redis
+
+  server:
+    image: monadicalsas/reflector-backend:latest
     restart: unless-stopped
+    env_file:
+      - ./server/.env
+    environment:
+      ENTRYPOINT: server
+    depends_on:
+      - postgres
+      - redis
+    volumes:
+      - server_data:/app/data
+      - ./server/reflector/auth/jwt/keys:/app/reflector/auth/jwt/keys:ro
+
+  worker:
+    image: monadicalsas/reflector-backend:latest
+    restart: unless-stopped
+    env_file:
+      - ./server/.env
+    environment:
+      ENTRYPOINT: worker
+    depends_on:
+      - postgres
+      - redis
+    volumes:
+      - server_data:/app/data
+      - ./server/reflector/auth/jwt/keys:/app/reflector/auth/jwt/keys:ro
+
+  beat:
+    image: monadicalsas/reflector-backend:latest
+    restart: unless-stopped
+    env_file:
+      - ./server/.env
+    environment:
+      ENTRYPOINT: beat
+    depends_on:
+      - postgres
+      - redis
 
   redis:
     image: redis:7.2-alpine
@@ -35,5 +68,46 @@ services:
     volumes:
       - redis_data:/data
 
+  postgres:
+    image: postgres:17-alpine
+    restart: unless-stopped
+    environment:
+      POSTGRES_USER: reflector
+      POSTGRES_PASSWORD: reflector
+      POSTGRES_DB: reflector
+    volumes:
+      - postgres_data:/var/lib/postgresql/data
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -U reflector"]
+      interval: 30s
+      timeout: 3s
+      retries: 3
+
+  caddy:
+    image: caddy:2-alpine
+    restart: unless-stopped
+    ports:
+      - "80:80"
+      - "443:443"
+    volumes:
+      - ./Caddyfile:/etc/caddy/Caddyfile:ro
+      - caddy_data:/data
+      - caddy_config:/config
+    depends_on:
+      - web
+      - server
+
+  docs:
+    build: ./docs
+    restart: unless-stopped
+
 volumes:
-  redis_data:
+  redis_data:
+  postgres_data:
+  server_data:
+  caddy_data:
+  caddy_config:
+
+networks:
+  default:
+    attachable: true

docker-compose.yml

@@ -34,6 +34,33 @@ services:
     environment:
       ENTRYPOINT: beat
 
+  hatchet-worker-cpu:
+    build:
+      context: server
+    volumes:
+      - ./server/:/app/
+      - /app/.venv
+    env_file:
+      - ./server/.env
+    environment:
+      ENTRYPOINT: hatchet-worker-cpu
+    depends_on:
+      hatchet:
+        condition: service_healthy
+  hatchet-worker-llm:
+    build:
+      context: server
+    volumes:
+      - ./server/:/app/
+      - /app/.venv
+    env_file:
+      - ./server/.env
+    environment:
+      ENTRYPOINT: hatchet-worker-llm
+    depends_on:
+      hatchet:
+        condition: service_healthy
+
   redis:
     image: redis:7.2
     ports:
@@ -55,6 +82,7 @@ services:
 
   postgres:
     image: postgres:17
+    command: postgres -c 'max_connections=200'
     ports:
       - 5432:5432
     environment:
@@ -63,6 +91,42 @@ services:
       POSTGRES_DB: reflector
     volumes:
       - ./data/postgres:/var/lib/postgresql/data
+      - ./server/docker/init-hatchet-db.sql:/docker-entrypoint-initdb.d/init-hatchet-db.sql:ro
+    healthcheck:
+      test: ["CMD-SHELL", "pg_isready -d reflector -U reflector"]
+      interval: 10s
+      timeout: 10s
+      retries: 5
+      start_period: 10s
+
+  hatchet:
+    image: ghcr.io/hatchet-dev/hatchet/hatchet-lite:latest
+    ports:
+      - "8889:8888"
+      - "7078:7077"
+    depends_on:
+      postgres:
+        condition: service_healthy
+    environment:
+      DATABASE_URL: "postgresql://reflector:reflector@postgres:5432/hatchet?sslmode=disable"
+      SERVER_AUTH_COOKIE_DOMAIN: localhost
+      SERVER_AUTH_COOKIE_INSECURE: "t"
+      SERVER_GRPC_BIND_ADDRESS: "0.0.0.0"
+      SERVER_GRPC_INSECURE: "t"
+      SERVER_GRPC_BROADCAST_ADDRESS: hatchet:7077
+      SERVER_GRPC_PORT: "7077"
+      SERVER_URL: http://localhost:8889
+      SERVER_AUTH_SET_EMAIL_VERIFIED: "t"
+      # SERVER_DEFAULT_ENGINE_VERSION: "V1"  # default
+      SERVER_INTERNAL_CLIENT_INTERNAL_GRPC_BROADCAST_ADDRESS: hatchet:7077
+    volumes:
+      - ./data/hatchet-config:/config
+    healthcheck:
+      test: ["CMD", "curl", "-f", "http://localhost:8888/api/live"]
+      interval: 30s
+      timeout: 10s
+      retries: 5
+      start_period: 30s
 
 networks:
   default:

docs/.gitignore

@@ -0,0 +1,20 @@
+# Dependencies
+/node_modules
+
+# Production
+/build
+
+# Generated files
+.docusaurus
+.cache-loader
+
+# Misc
+.DS_Store
+.env.local
+.env.development.local
+.env.test.local
+.env.production.local
+
+npm-debug.log*
+yarn-debug.log*
+yarn-error.log*

docs/Dockerfile

@@ -0,0 +1,39 @@
+FROM node:18-alpine AS builder
+WORKDIR /app
+
+# Install curl for fetching OpenAPI spec
+RUN apk add --no-cache curl
+
+# Copy package files
+COPY package*.json ./
+
+# Install dependencies
+RUN npm ci
+
+# Copy source
+COPY . .
+
+# Fetch OpenAPI spec from production API
+ARG OPENAPI_URL=https://api-reflector.monadical.com/openapi.json
+RUN mkdir -p ./static && curl -sf "${OPENAPI_URL}" -o ./static/openapi.json || echo '{}' > ./static/openapi.json
+
+# Fix docusaurus config: change onBrokenLinks to 'warn' for Docker build
+RUN sed -i "s/onBrokenLinks: 'throw'/onBrokenLinks: 'warn'/g" docusaurus.config.ts
+
+# Build static site (skip prebuild hook by calling docusaurus directly)
+RUN npx docusaurus build
+
+# Production image
+FROM nginx:alpine
+
+# Copy built static files
+COPY --from=builder /app/build /usr/share/nginx/html
+
+# Healthcheck for container orchestration
+HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
+  CMD wget --no-verbose --tries=1 --spider http://localhost/ || exit 1
+
+# Expose port
+EXPOSE 80
+
+CMD ["nginx", "-g", "daemon off;"]

docs/README.md

@@ -0,0 +1,41 @@
+# Website
+
+This website is built using [Docusaurus](https://docusaurus.io/), a modern static website generator.
+
+### Installation
+
+```
+$ yarn
+```
+
+### Local Development
+
+```
+$ yarn start
+```
+
+This command starts a local development server and opens up a browser window. Most changes are reflected live without having to restart the server.
+
+### Build
+
+```
+$ yarn build
+```
+
+This command generates static content into the `build` directory and can be served using any static contents hosting service.
+
+### Deployment
+
+Using SSH:
+
+```
+$ USE_SSH=true yarn deploy
+```
+
+Not using SSH:
+
+```
+$ GIT_USER=<Your GitHub username> yarn deploy
+```
+
+If you are using GitHub pages for hosting, this command is a convenient way to build the website and push to the `gh-pages` branch.

docs/TODO.md

@@ -0,0 +1,48 @@
+# Documentation TODO - PR #778 Review Comments
+
+Remaining items from Tito's review. See CHANGES.md for completed items.
+
+---
+
+## Remaining Items
+
+| File | Issue | Priority | Notes |
+|------|-------|----------|-------|
+| ~~`intro.md:10`~~ | ~~Add screenshots~~ | ~~Low~~ | ✅ **DONE** - Added transcript view screenshot |
+| `file-pipeline.md:47` | chunk_size example shows 30s | Low | Unclear what example config should show (~16s actual) |
+| ~~`self-hosted-gpu-setup.md:235`~~ | ~~systemd template in repo~~ | ~~Medium~~ | ✅ **REMOVED** - Systemd support removed entirely |
+| ~~`installation/overview.md:85`~~ | ~~uv tool install~~ | ~~Low~~ | ✅ **DONE** - Changed to `uv tool install modal` |
+| ~~`installation/overview.md:101`~~ | ~~"Why systemd?"~~ | ~~Low~~ | ✅ **REMOVED** - Systemd support removed entirely |
+| `installation/overview.md:271` | Caddyfile copy removal | Low | Keeping for clarity |
+
+---
+
+## Skipped (Decided Not To Fix)
+
+| File | Issue | Reason |
+|------|-------|--------|
+| `installation/overview.md:40` | Model size requirements | Uncertain about exact requirements |
+| `installation/overview.md:136` | WebRTC ports | Handled by Daily/Whereby, not us |
+| `installation/overview.md:136` | Security section | Risk of incomplete/misleading docs |
+| `installation/overview.md:179` | AWS setup order | Low priority, works as-is |
+| `installation/overview.md:410` | Redundant next steps | Issue doesn't exist (file ends at 401) |
+
+---
+
+## Completed
+
+See CHANGES.md for full list. Summary:
+
+### Removals (9)
+- Encrypted data storage, session management, analytics claims
+- "coming soon" GPU, 30-second segments, CPU optimization
+- Encryption at rest, manual migrations, modprobe commands
+
+### Fixes (9)
+- WebRTC + Daily/Whereby, 4 API endpoints, Docker docs link
+- NVIDIA steps merged, compose.yml referenced, cross-reference duplicate
+- tee→nano, MOV format, troubleshooting link
+
+### Previously Fixed (7)
+- Blog removal, Daily.co added, rate limiting removed (x2)
+- PII claim removed, python→yaml, LUFS removed

docs/create-docs.sh

@@ -0,0 +1,777 @@
+#!/bin/bash
+
+# Create directory structure
+mkdir -p docs/concepts
+mkdir -p docs/installation
+mkdir -p docs/pipelines
+mkdir -p docs/reference/architecture
+mkdir -p docs/reference/processors
+mkdir -p docs/reference/api
+
+# Create all documentation files with content
+echo "Creating documentation files..."
+
+# Concepts - Modes
+cat > docs/concepts/modes.md << 'EOF'
+---
+sidebar_position: 2
+title: Operating Modes
+---
+
+# Operating Modes
+
+Reflector operates in two distinct modes to accommodate different use cases and security requirements.
+
+## Public Mode
+
+Public mode provides immediate access to core transcription features without requiring authentication.
+
+### Features Available
+- **File Upload**: Process audio files up to 2GB
+- **Live Transcription**: Stream audio from microphone
+- **Basic Processing**: Transcription and diarization
+- **Temporary Storage**: Results available for 24 hours
+
+### Limitations
+- No persistent storage
+- No meeting rooms
+- Limited to single-user sessions
+- No team collaboration features
+
+### Use Cases
+- Quick transcription needs
+- Testing and evaluation
+- Individual users
+- Public demonstrations
+
+## Private Mode
+
+Private mode unlocks the full potential of Reflector with authentication and persistent storage.
+
+### Additional Features
+- **Virtual Meeting Rooms**: Whereby integration
+- **Team Collaboration**: Share transcripts with team
+- **Persistent Storage**: Long-term transcript archive
+- **Advanced Analytics**: Meeting insights and trends
+- **Custom Integration**: Webhooks and API access
+- **User Management**: Role-based access control
+
+### Authentication Options
+
+#### Authentik Integration
+Enterprise-grade SSO with support for:
+- SAML 2.0
+- OAuth 2.0 / OIDC
+- LDAP / Active Directory
+- Multi-factor authentication
+
+#### JWT Authentication
+Stateless token-based auth for:
+- API access
+- Service-to-service communication
+- Mobile applications
+
+### Room Management
+
+Virtual rooms provide dedicated spaces for meetings:
+- **Persistent URLs**: Same link for recurring meetings
+- **Access Control**: Invite-only or open rooms
+- **Recording Consent**: Automatic consent management
+- **Custom Settings**: Per-room configuration
+
+## Mode Selection
+
+The mode is determined by your deployment configuration:
+
+```yaml
+# Public Mode (no authentication)
+REFLECTOR_AUTH_BACKEND=none
+
+# Private Mode (with authentication)
+REFLECTOR_AUTH_BACKEND=jwt
+# or
+REFLECTOR_AUTH_BACKEND=authentik
+```
+
+## Feature Comparison
+
+| Feature | Public Mode | Private Mode |
+|---------|------------|--------------|
+| File Upload | ✅ | ✅ |
+| Live Transcription | ✅ | ✅ |
+| Speaker Diarization | ✅ | ✅ |
+| Translation | ✅ | ✅ |
+| Summarization | ✅ | ✅ |
+| Meeting Rooms | ❌ | ✅ |
+| Persistent Storage | ❌ | ✅ |
+| Team Collaboration | ❌ | ✅ |
+| API Access | Limited | Full |
+| User Management | ❌ | ✅ |
+| Custom Branding | ❌ | ✅ |
+| Analytics | ❌ | ✅ |
+| Webhooks | ❌ | ✅ |
+
+## Security Considerations
+
+### Public Mode Security
+- Rate limiting to prevent abuse
+- File size restrictions
+- Automatic cleanup of old data
+- No PII storage
+
+### Private Mode Security
+- Encrypted data storage
+- Audit logging
+- Session management
+- Access control lists
+- Data retention policies
+
+## Choosing the Right Mode
+
+### Choose Public Mode if:
+- You need quick, one-time transcriptions
+- You're evaluating Reflector
+- You don't need persistent storage
+- You're processing non-sensitive content
+
+### Choose Private Mode if:
+- You need team collaboration
+- You require persistent storage
+- You're processing sensitive content
+- You need meeting room functionality
+- You want advanced analytics
+EOF
+
+# Concepts - Independence
+cat > docs/concepts/independence.md << 'EOF'
+---
+sidebar_position: 3
+title: Data Independence
+---
+
+# Data Independence & Privacy
+
+Reflector is designed with privacy and data independence as core principles, giving you complete control over your data and processing.
+
+## Privacy by Design
+
+### No Third-Party Data Sharing
+
+Your audio and transcripts are never shared with third parties:
+- **Local Processing**: All ML models can run on your infrastructure
+- **No Training on User Data**: Your content is never used to improve models
+- **Isolated Processing**: Each transcript is processed in isolation
+- **No Analytics Tracking**: No usage analytics sent to external services
+
+### Data Ownership
+
+You maintain complete ownership of all data:
+- **Export Anytime**: Download all your transcripts and audio
+- **Delete on Demand**: Permanent deletion with no recovery
+- **API Access**: Full programmatic access to your data
+- **No Vendor Lock-in**: Standard formats for easy migration
+
+## Processing Transparency
+
+### What Happens to Your Audio
+
+1. **Upload/Stream**: Audio received by your server
+2. **Temporary Storage**: Stored only for processing duration
+3. **Processing**: ML models process audio locally or on Modal
+4. **Results Storage**: Transcripts stored in your database
+5. **Cleanup**: Original audio deleted (unless configured otherwise)
+
+### Local vs Cloud Processing
+
+#### Local Processing
+When configured for local processing:
+- All models run on your hardware
+- No data leaves your infrastructure
+- Complete air-gap capability
+- Higher hardware requirements
+
+#### Modal.com Processing
+When using Modal for GPU acceleration:
+- Audio chunks sent to Modal for processing
+- Processed immediately and deleted
+- No long-term storage on Modal
+- Modal's security: SOC 2 Type II compliant
+
+### Data Retention
+
+Default retention policies:
+- **Public Mode**: 24 hours then automatic deletion
+- **Private Mode**: Configurable (default: indefinite)
+- **Audio Files**: Deleted after processing (configurable)
+- **Transcripts**: Retained based on policy
+
+## Compliance Features
+
+### GDPR Compliance
+
+- **Right to Access**: Export all user data
+- **Right to Deletion**: Permanent data removal
+- **Data Portability**: Standard export formats
+- **Privacy by Default**: Minimal data collection
+
+### HIPAA Considerations
+
+For healthcare deployments:
+- **Self-hosted Option**: Complete infrastructure control
+- **Encryption**: At rest and in transit
+- **Audit Logging**: Complete access trail
+- **Access Controls**: Role-based permissions
+
+### Industry Standards
+
+- **TLS 1.3**: Modern encryption for data in transit
+- **AES-256**: Encryption for data at rest
+- **JWT Tokens**: Secure, stateless authentication
+- **OWASP Guidelines**: Security best practices
+
+## Self-Hosted Deployment
+
+### Complete Independence
+
+Self-hosting provides maximum control:
+- **Your Infrastructure**: Run on your servers
+- **Your Network**: No external connections required
+- **Your Policies**: Implement custom retention
+- **Your Compliance**: Meet specific requirements
+
+### Air-Gap Capability
+
+Reflector can run completely offline:
+1. Download all models during setup
+2. Configure for local processing only
+3. Disable all external integrations
+4. Run in isolated network environment
+
+## Data Flow Control
+
+### Configurable Processing
+
+Control where each step happens:
+
+```yaml
+# All local processing
+TRANSCRIPT_BACKEND=local
+DIARIZATION_BACKEND=local
+TRANSLATION_BACKEND=local
+
+# Hybrid approach
+TRANSCRIPT_BACKEND=modal  # Fast GPU processing
+DIARIZATION_BACKEND=local # Sensitive speaker data
+TRANSLATION_BACKEND=modal  # Non-sensitive translation
+```
+
+### Storage Options
+
+Choose where data is stored:
+- **Local Filesystem**: Complete control
+- **PostgreSQL**: Self-hosted database
+- **S3-Compatible**: MinIO or AWS with encryption
+- **Hybrid**: Different storage for different data types
+
+## Security Architecture
+
+### Defense in Depth
+
+Multiple layers of security:
+1. **Network Security**: Firewalls and VPNs
+2. **Application Security**: Input validation and sanitization
+3. **Data Security**: Encryption and access controls
+4. **Operational Security**: Logging and monitoring
+
+### Zero Trust Principles
+
+- **Verify Everything**: All requests authenticated
+- **Least Privilege**: Minimal permissions granted
+- **Assume Breach**: Design for compromise containment
+- **Encrypt Everything**: No plaintext transmission
+
+## Audit and Compliance
+
+### Audit Logging
+
+Comprehensive logging of:
+- **Access Events**: Who accessed what and when
+- **Processing Events**: What was processed and how
+- **Configuration Changes**: System modifications
+- **Security Events**: Failed authentication attempts
+
+### Compliance Reporting
+
+Generate reports for:
+- **Data Processing**: What data was processed
+- **Data Access**: Who accessed the data
+- **Data Retention**: What was retained or deleted
+- **Security Events**: Security-related incidents
+
+## Best Practices
+
+### For Maximum Privacy
+
+1. **Self-host** all components
+2. **Use local processing** for all models
+3. **Implement short retention** periods
+4. **Encrypt all storage** at rest
+5. **Use VPN** for all connections
+6. **Regular audits** of access logs
+
+### For Balanced Approach
+
+1. **Self-host core services** (database, API)
+2. **Use Modal for processing** (faster, cost-effective)
+3. **Implement encryption** everywhere
+4. **Regular backups** with encryption
+5. **Monitor access** patterns
+EOF
+
+# Concepts - Pipeline
+cat > docs/concepts/pipeline.md << 'EOF'
+---
+sidebar_position: 4
+title: Processing Pipeline
+---
+
+# Processing Pipeline
+
+Reflector uses a sophisticated pipeline architecture to process audio efficiently and accurately.
+
+## Pipeline Overview
+
+The processing pipeline consists of modular components that can be combined and configured based on your needs:
+
+```mermaid
+graph LR
+    A[Audio Input] --> B[Pre-processing]
+    B --> C[Chunking]
+    C --> D[Transcription]
+    D --> E[Diarization]
+    E --> F[Alignment]
+    F --> G[Post-processing]
+    G --> H[Output]
+```
+
+## Pipeline Components
+
+### Audio Input
+
+Accepts various input sources:
+- **File Upload**: MP3, WAV, M4A, WebM, MP4
+- **WebRTC Stream**: Live browser audio
+- **Recording Integration**: Whereby recordings
+- **API Upload**: Direct API submission
+
+### Pre-processing
+
+Prepares audio for optimal processing:
+- **Format Conversion**: Convert to 16kHz mono WAV
+- **Normalization**: Adjust volume to -23 LUFS
+- **Noise Reduction**: Optional background noise removal
+- **Validation**: Check duration and quality
+
+### Chunking
+
+Splits audio for parallel processing:
+- **Fixed Size**: 30-second chunks by default
+- **Overlap**: 1-second overlap for continuity
+- **Smart Boundaries**: Attempt to split at silence
+- **Metadata**: Track chunk positions
+
+### Transcription
+
+Converts speech to text:
+- **Model Selection**: Whisper or Parakeet
+- **Language Detection**: Automatic or specified
+- **Timestamp Generation**: Word-level timing
+- **Confidence Scores**: Quality indicators
+
+### Diarization
+
+Identifies different speakers:
+- **Voice Activity Detection**: Find speech segments
+- **Speaker Embedding**: Extract voice characteristics
+- **Clustering**: Group similar voices
+- **Label Assignment**: Assign speaker IDs
+
+### Alignment
+
+Merges all processing results:
+- **Chunk Assembly**: Combine transcription chunks
+- **Speaker Mapping**: Align speakers with text
+- **Overlap Resolution**: Handle chunk boundaries
+- **Timeline Creation**: Build unified timeline
+
+### Post-processing
+
+Enhances the final output:
+- **Formatting**: Apply punctuation and capitalization
+- **Translation**: Convert to target languages
+- **Summarization**: Generate concise summaries
+- **Topic Extraction**: Identify key themes
+- **Action Items**: Extract tasks and decisions
+
+## Processing Modes
+
+### Batch Processing
+
+For uploaded files:
+- Optimized for throughput
+- Parallel chunk processing
+- Higher accuracy models
+- Complete file analysis
+
+### Stream Processing
+
+For live audio:
+- Optimized for latency
+- Sequential processing
+- Real-time feedback
+- Progressive results
+
+### Hybrid Processing
+
+For meetings:
+- Stream during meeting
+- Batch after completion
+- Best of both modes
+- Maximum accuracy
+
+## Pipeline Configuration
+
+### Model Selection
+
+Choose models based on requirements:
+
+```python
+# High accuracy (slower)
+config = {
+    "transcription_model": "whisper-large-v3",
+    "diarization_model": "pyannote-3.1",
+    "translation_model": "seamless-m4t-large"
+}
+
+# Balanced (default)
+config = {
+    "transcription_model": "whisper-base",
+    "diarization_model": "pyannote-3.1",
+    "translation_model": "seamless-m4t-medium"
+}
+
+# Fast processing
+config = {
+    "transcription_model": "whisper-tiny",
+    "diarization_model": "pyannote-3.1-fast",
+    "translation_model": "seamless-m4t-small"
+}
+```
+
+### Processing Options
+
+Customize pipeline behavior:
+
+```yaml
+# Parallel processing
+max_parallel_chunks: 10
+chunk_size_seconds: 30
+chunk_overlap_seconds: 1
+
+# Quality settings
+enable_noise_reduction: true
+enable_normalization: true
+min_speech_confidence: 0.5
+
+# Post-processing
+enable_translation: true
+target_languages: ["es", "fr", "de"]
+enable_summarization: true
+summary_length: "medium"
+```
+
+## Performance Characteristics
+
+### Processing Times
+
+For 1 hour of audio:
+
+| Pipeline Config | Processing Time | Accuracy |
+|----------------|-----------------|----------|
+| Fast | 2-3 minutes | 85-90% |
+| Balanced | 5-8 minutes | 92-95% |
+| High Accuracy | 15-20 minutes | 95-98% |
+
+### Resource Usage
+
+| Component | CPU Usage | Memory | GPU |
+|-----------|-----------|---------|-----|
+| Transcription | Medium | 2-4 GB | Required |
+| Diarization | High | 4-8 GB | Required |
+| Translation | Low | 2-3 GB | Optional |
+| Post-processing | Low | 1-2 GB | Not needed |
+
+## Pipeline Orchestration
+
+### Celery Task Chain
+
+The pipeline is orchestrated using Celery:
+
+```python
+chain = (
+    chunk_audio.s(audio_id) |
+    group(transcribe_chunk.s(chunk) for chunk in chunks) |
+    merge_transcriptions.s() |
+    diarize_audio.s() |
+    align_speakers.s() |
+    post_process.s()
+)
+```
+
+### Error Handling
+
+Robust error recovery:
+- **Automatic Retry**: Failed tasks retry up to 3 times
+- **Partial Recovery**: Continue with successful chunks
+- **Fallback Models**: Use alternative models on failure
+- **Error Reporting**: Detailed error messages
+
+### Progress Tracking
+
+Real-time progress updates:
+- **Chunk Progress**: Track individual chunk processing
+- **Overall Progress**: Percentage completion
+- **ETA Calculation**: Estimated completion time
+- **WebSocket Updates**: Live progress to clients
+
+## Optimization Strategies
+
+### GPU Utilization
+
+Maximize GPU efficiency:
+- **Batch Processing**: Process multiple chunks together
+- **Model Caching**: Keep models loaded in memory
+- **Dynamic Batching**: Adjust batch size based on GPU memory
+- **Multi-GPU Support**: Distribute across available GPUs
+
+### Memory Management
+
+Efficient memory usage:
+- **Streaming Processing**: Process large files in chunks
+- **Garbage Collection**: Clean up after each chunk
+- **Memory Limits**: Prevent out-of-memory errors
+- **Disk Caching**: Use disk for large intermediate results
+
+### Network Optimization
+
+Minimize network overhead:
+- **Compression**: Compress audio before transfer
+- **CDN Integration**: Use CDN for static assets
+- **Connection Pooling**: Reuse network connections
+- **Parallel Uploads**: Multiple concurrent uploads
+
+## Quality Assurance
+
+### Accuracy Metrics
+
+Monitor processing quality:
+- **Word Error Rate (WER)**: Transcription accuracy
+- **Diarization Error Rate (DER)**: Speaker identification accuracy
+- **Translation BLEU Score**: Translation quality
+- **Summary Coherence**: Summary quality metrics
+
+### Validation Steps
+
+Ensure output quality:
+- **Confidence Thresholds**: Filter low-confidence segments
+- **Consistency Checks**: Verify timeline consistency
+- **Language Validation**: Ensure correct language detection
+- **Format Validation**: Check output format compliance
+
+## Advanced Features
+
+### Custom Models
+
+Use your own models:
+- **Fine-tuned Whisper**: Domain-specific models
+- **Custom Diarization**: Trained on your speakers
+- **Specialized Post-processing**: Industry-specific formatting
+
+### Pipeline Extensions
+
+Add custom processing steps:
+- **Sentiment Analysis**: Analyze emotional tone
+- **Entity Extraction**: Identify people, places, organizations
+- **Custom Metrics**: Calculate domain-specific metrics
+- **Integration Hooks**: Call external services
+EOF
+
+# Create installation documentation
+cat > docs/installation/overview.md << 'EOF'
+---
+sidebar_position: 1
+title: Installation Overview
+---
+
+# Installation Overview
+
+Reflector is designed for self-hosted deployment, giving you complete control over your infrastructure and data.
+
+## Deployment Options
+
+### Docker Deployment (Recommended)
+
+The easiest way to deploy Reflector:
+- Pre-configured containers
+- Automated dependency management
+- Consistent environment
+- Easy updates
+
+### Manual Installation
+
+For custom deployments:
+- Greater control over configuration
+- Integration with existing infrastructure
+- Custom optimization options
+- Development environments
+
+## Requirements
+
+### System Requirements
+
+**Minimum Requirements:**
+- CPU: 4 cores
+- RAM: 8 GB
+- Storage: 50 GB
+- OS: Ubuntu 20.04+ or similar Linux
+
+**Recommended Requirements:**
+- CPU: 8+ cores
+- RAM: 16 GB
+- Storage: 100 GB SSD
+- GPU: NVIDIA GPU with 8GB+ VRAM (for local processing)
+
+### Network Requirements
+
+- Public IP address (for WebRTC)
+- Ports: 80, 443, 8000, 3000
+- Domain name (for SSL)
+- SSL certificate (Let's Encrypt supported)
+
+## Required Services
+
+### Core Services
+
+These services are required for basic operation:
+
+1. **PostgreSQL** - Primary database
+2. **Redis** - Message broker and cache
+3. **Docker** - Container runtime
+
+### GPU Processing
+
+Choose one:
+- **Modal.com** - Serverless GPU (recommended)
+- **Local GPU** - Self-hosted GPU processing
+
+### Optional Services
+
+Enhance functionality with:
+- **AWS S3** - Long-term storage
+- **Whereby** - Video conferencing rooms
+- **Authentik** - Enterprise authentication
+- **Zulip** - Chat integration
+
+## Quick Start
+
+### Using Docker Compose
+
+1. Clone the repository:
+```bash
+git clone https://github.com/monadical-sas/reflector.git
+cd reflector
+```
+
+2. Navigate to docker directory:
+```bash
+cd docker
+```
+
+3. Copy and configure environment:
+```bash
+cp .env.example .env
+# Edit .env with your settings
+```
+
+4. Start services:
+```bash
+docker compose up -d
+```
+
+5. Access Reflector:
+- Frontend: https://your-domain.com
+- API: https://your-domain.com/api
+
+## Configuration Overview
+
+### Essential Configuration
+
+```env
+# Database
+DATABASE_URL=postgresql://user:pass@localhost/reflector
+
+# Redis
+REDIS_URL=redis://localhost:6379
+
+# Modal.com (for GPU processing)
+TRANSCRIPT_MODAL_API_KEY=your-key
+DIARIZATION_MODAL_API_KEY=your-key
+
+# Domain
+DOMAIN=your-domain.com
+```
+
+### Security Configuration
+
+```env
+# Authentication
+REFLECTOR_AUTH_BACKEND=jwt
+NEXTAUTH_SECRET=generate-strong-secret
+
+# SSL (handled by Caddy)
+# Automatic with Let's Encrypt
+```
+
+## Service Architecture
+
+```mermaid
+graph TD
+    A[Caddy Reverse Proxy] --> B[Frontend - Next.js]
+    A --> C[Backend - FastAPI]
+    C --> D[PostgreSQL]
+    C --> E[Redis]
+    C --> F[Celery Workers]
+    F --> G[Modal.com GPU]
+```
+
+## Next Steps
+
+1. **Review Requirements**: [System Requirements](./requirements)
+2. **Docker Setup**: [Docker Deployment Guide](./docker-setup)
+3. **Configure Services**:
+   - [Modal.com Setup](./modal-setup)
+   - [Whereby Setup](./whereby-setup)
+   - [AWS S3 Setup](./aws-setup)
+4. **Optional Services**:
+   - [Authentik Setup](./authentik-setup)
+   - [Zulip Setup](./zulip-setup)
+
+## Getting Help
+
+- [Troubleshooting Guide](../reference/troubleshooting)
+- [GitHub Issues](https://github.com/monadical-sas/reflector/issues)
+- [Community Discord](#)
+EOF
+
+chmod +x create-docs.sh
+echo "Documentation creation script ready. Run ./create-docs.sh to generate all docs."

docs/docs/concepts/modes.md

@@ -0,0 +1,115 @@
+---
+sidebar_position: 2
+title: Operating Modes
+---
+
+# Operating Modes
+
+Reflector operates in two distinct modes to accommodate different use cases and security requirements.
+
+## Public Mode
+
+Public mode provides immediate access to core transcription features without requiring authentication.
+
+### Features Available
+- **File Upload**: Process audio files
+- **Live Transcription**: Stream audio from microphone
+- **Basic Processing**: Transcription and diarization
+- **Temporary Storage**: Temporary data retention (configurable)
+
+### Limitations
+- No persistent storage
+- No meeting rooms
+- Limited to single-user sessions
+- No team collaboration features
+
+### Use Cases
+- Quick transcription needs
+- Testing and evaluation
+- Individual users
+- Public demonstrations
+
+## Private Mode
+
+Private mode unlocks the full potential of Reflector with authentication and persistent storage.
+
+### Additional Features
+- **Virtual Meeting Rooms**: Whereby and Daily.co integration
+- **Team Collaboration**: Share transcripts with team
+- **Persistent Storage**: Long-term transcript archive
+- **Meeting History**: Search and browse past transcripts
+- **Custom Integration**: Webhooks and API access
+- **User Management**: Role-based access control
+
+### Authentication Options
+
+#### Authentik Integration
+Enterprise-grade SSO with support for:
+- SAML 2.0
+- OAuth 2.0 / OIDC
+- LDAP / Active Directory
+- Multi-factor authentication
+
+### Room Management
+
+Virtual rooms provide dedicated spaces for meetings:
+- **Persistent URLs**: Same link for recurring meetings
+- **Access Control**: Invite-only or open rooms
+- **Recording Consent**: Automatic consent management
+- **Custom Settings**: Per-room configuration
+
+## Mode Selection
+
+The mode is determined by your deployment configuration:
+
+```yaml
+# Public Mode (no authentication)
+AUTH_BACKEND=none
+
+# Private Mode (with authentication)
+AUTH_BACKEND=jwt
+```
+
+See [Authentication Setup](../installation/auth-setup) for configuring JWT authentication.
+
+## Feature Comparison
+
+| Feature | Public Mode | Private Mode |
+|---------|------------|--------------|
+| File Upload | ✅ | ✅ |
+| Live Transcription | ✅ | ✅ |
+| Speaker Diarization | ✅ | ✅ |
+| Summarization | ✅ | ✅ |
+| Meeting Rooms | ❌ | ✅ |
+| Persistent Storage | ❌ | ✅ |
+| Team Collaboration | ❌ | ✅ |
+| API Access | Limited | Full |
+| User Management | ❌ | ✅ |
+| Custom Branding | ❌ | ✅ |
+| Meeting History | ❌ | ✅ |
+| Webhooks | ❌ | ✅ |
+
+## Security Considerations
+
+### Public Mode Security
+- File size restrictions
+- Automatic cleanup of old data
+
+### Private Mode Security
+- Access control lists
+- Data retention policies
+
+## Choosing the Right Mode
+
+### Choose Public Mode if:
+- You need quick, one-time transcriptions
+- You're evaluating Reflector
+- You don't need persistent storage
+- You're processing non-sensitive content
+
+### Choose Private Mode if:
+- You need team collaboration
+- You require persistent storage
+- You're processing sensitive content
+- You need meeting room functionality
+- You want searchable meeting history

docs/docs/concepts/overview.md

@@ -0,0 +1,201 @@
+---
+sidebar_position: 1
+title: Architecture Overview
+---
+
+# Architecture Overview
+
+Reflector is built as a modern, scalable, microservices-based application designed to handle audio processing workloads efficiently while maintaining data privacy and control.
+
+## System Components
+
+### Frontend Application
+
+The user interface is built with **Next.js 15** using the App Router pattern, providing:
+
+- Server-side rendering for optimal performance
+- Real-time WebSocket connections for live transcription
+- WebRTC support for audio streaming and live meetings (via Daily.co or Whereby)
+- Responsive design with Chakra UI components
+
+### Backend API Server
+
+The core API is powered by **FastAPI**, a modern Python framework that provides:
+
+- High-performance async request handling
+- Automatic OpenAPI documentation generation
+- Type safety with Pydantic models
+- WebSocket support for real-time updates
+
+### Processing Pipeline
+
+Audio processing is handled through a modular pipeline architecture:
+
+```
+Audio Input → Chunking → Transcription → Diarization → Post-Processing → Storage
+```
+
+Each step can run independently and in parallel, allowing for:
+- Scalable processing of large files
+- Real-time streaming capabilities
+- Fault tolerance and retry mechanisms
+
+### Worker Architecture
+
+Background tasks are managed by **Celery** workers with **Redis** as the message broker:
+
+- Distributed task processing
+- Priority queues for time-sensitive operations
+- Automatic retry on failure
+- Progress tracking and notifications
+
+### GPU Acceleration
+
+ML models run on GPU-accelerated infrastructure:
+
+- **Modal.com** for serverless GPU processing
+- **Self-hosted GPU** with Docker deployment
+- Automatic scaling based on demand
+- Cost-effective pay-per-use model
+
+## Data Flow
+
+### Daily.co Meeting Recording Flow
+
+1. **Recording**: Daily.co captures separate audio tracks per participant
+2. **Webhook**: Daily.co notifies Reflector when recording is ready
+3. **Track Download**: Individual participant tracks fetched from S3
+4. **Padding**: Tracks padded with silence based on join time for synchronization
+5. **Transcription**: Each track transcribed independently (speaker = track index)
+6. **Merge**: Transcriptions sorted by timestamp and combined
+7. **Mixdown**: Tracks mixed to single MP3 for playback
+8. **Post-Processing**: Topics, title, and summaries generated via LLM
+9. **Delivery**: Results stored and user notified via WebSocket
+
+### File Upload Flow
+
+1. **Upload**: User uploads audio file through web interface
+2. **Storage**: File stored temporarily
+3. **Transcription**: Full file transcribed via Whisper
+4. **Diarization**: ML-based speaker identification (Pyannote)
+5. **Post-Processing**: Topics, title, summaries
+6. **Delivery**: Results stored and user notified
+
+### Live Streaming Flow
+
+1. **WebRTC Connection**: Browser establishes peer connection via Daily.co or Whereby
+2. **Audio Capture**: Microphone audio streamed to server
+3. **Buffering**: Audio buffered for processing
+4. **Real-time Processing**: Segments transcribed as they arrive
+5. **WebSocket Updates**: Results streamed back to client
+6. **Continuous Assembly**: Full transcript built progressively
+
+## Deployment Architecture
+
+### Container-Based Deployment
+
+All components are containerized for consistent deployment:
+
+```yaml
+services:
+  web:         # Next.js application
+  server:      # FastAPI server
+  worker:      # Celery workers
+  redis:       # Message broker
+  postgres:    # Database
+  caddy:       # Reverse proxy
+```
+
+### Networking
+
+- **Host Network Mode**: Required for WebRTC/ICE compatibility
+- **Caddy Reverse Proxy**: Handles SSL termination and routing
+- **WebSocket Upgrade**: Supports real-time connections
+
+## Scalability Considerations
+
+### Horizontal Scaling
+
+- **Stateless Backend**: Multiple API server instances
+- **Worker Pools**: Add workers based on queue depth
+- **Database Pooling**: Connection management for concurrent access
+
+### Vertical Scaling
+
+- **GPU Workers**: Scale up for faster model inference
+- **Memory Optimization**: Efficient audio buffering
+
+## Security Architecture
+
+### Authentication & Authorization
+
+- **JWT Tokens**: Stateless authentication
+- **Authentik Integration**: Enterprise SSO support
+- **Role-Based Access**: Granular permissions
+
+### Data Protection
+
+- **Encryption in Transit**: TLS for all connections
+- **Temporary Storage**: Automatic cleanup of processed files
+
+### Privacy by Design
+
+- **Local Processing**: Option to process entirely on-premises
+- **No Training on User Data**: Models are pre-trained
+- **Data Isolation**: Multi-tenant data separation
+
+## Integration Points
+
+### External Services
+
+- **Modal.com**: GPU processing
+- **AWS S3**: Long-term storage
+- **Whereby**: Video conferencing rooms
+- **Zulip**: Chat integration (optional)
+
+### APIs and Webhooks
+
+- **RESTful API**: Standard CRUD operations
+- **WebSocket API**: Real-time updates
+- **Webhook Notifications**: Processing completion events
+- **OpenAPI Specification**: Machine-readable API definition
+
+## Performance Optimization
+
+### Caching Strategy
+
+- **Redis Cache**: Frequently accessed data
+- **CDN**: Static asset delivery
+- **Browser Cache**: Client-side optimization
+
+### Database Optimization
+
+- **Indexed Queries**: Fast search and retrieval
+- **Connection Pooling**: Efficient resource usage
+- **Query Optimization**: N+1 query prevention
+
+### Processing Optimization
+
+- **Batch Processing**: Efficient GPU utilization
+- **Parallel Execution**: Multi-core CPU usage
+- **Stream Processing**: Reduced memory footprint
+
+## Monitoring and Observability
+
+### Metrics Collection
+
+- **Application Metrics**: Request rates, response times
+- **System Metrics**: CPU, memory, disk usage
+- **Business Metrics**: Transcription accuracy, processing times
+
+### Logging
+
+- **Structured Logging**: JSON format for analysis
+- **Log Aggregation**: Centralized log management
+- **Error Tracking**: Sentry integration
+
+### Health Checks
+
+- **Liveness Probes**: Component availability
+- **Readiness Probes**: Service readiness
+- **Dependency Checks**: External service status

docs/docs/concepts/pipeline.md

@@ -0,0 +1,183 @@
+---
+sidebar_position: 4
+title: Processing Pipeline
+---
+
+# Processing Pipeline
+
+Reflector uses a modular pipeline architecture to process audio efficiently and accurately.
+
+## Pipeline Overview
+
+The processing pipeline consists of modular components that can be combined and configured based on your needs:
+
+```mermaid
+graph LR
+    A[Audio Input] --> B[Pre-processing]
+    B --> C[Chunking]
+    C --> D[Transcription]
+    D --> E[Diarization]
+    E --> F[Alignment]
+    F --> G[Post-processing]
+    G --> H[Output]
+```
+
+## Pipeline Components
+
+### Audio Input
+
+Accepts various input sources:
+- **File Upload**: MP3, WAV, M4A, WebM, MP4
+- **WebRTC Stream**: Live browser audio
+- **Recording Integration**: Daily.co and Whereby recordings
+- **API Upload**: Direct API submission
+
+### Pre-processing
+
+Prepares audio for optimal processing:
+- **Format Conversion**: Convert to 16kHz mono WAV
+- **Noise Reduction**: Optional background noise removal
+- **Validation**: Check duration and quality
+
+### Chunking
+
+Splits audio for parallel processing:
+- **Configurable Size**: Audio split into processable segments
+- **Silence Detection**: Optional splitting at natural pauses
+- **Metadata**: Track chunk positions
+
+### Transcription
+
+Converts speech to text:
+- **Model Selection**: Whisper or Parakeet
+- **Language Detection**: Automatic or specified
+- **Timestamp Generation**: Word-level timing
+- **Confidence Scores**: Quality indicators
+
+### Diarization
+
+Identifies different speakers:
+- **Voice Activity Detection**: Find speech segments
+- **Speaker Embedding**: Extract voice characteristics
+- **Clustering**: Group similar voices
+- **Label Assignment**: Assign speaker IDs
+
+### Alignment
+
+Merges all processing results:
+- **Chunk Assembly**: Combine transcription chunks
+- **Speaker Mapping**: Align speakers with text
+- **Overlap Resolution**: Handle chunk boundaries
+- **Timeline Creation**: Build unified timeline
+
+### Post-processing
+
+Enhances the final output:
+- **Formatting**: Apply punctuation and capitalization
+- **Summarization**: Generate concise summaries
+- **Topic Extraction**: Identify key themes
+- **Action Items**: Extract tasks and decisions
+
+## Processing Modes
+
+### Batch Processing
+
+For uploaded files:
+- Optimized for throughput
+- Parallel chunk processing
+- Higher accuracy models
+- Complete file analysis
+
+### Stream Processing
+
+For live audio:
+- Optimized for latency
+- Sequential processing
+- Real-time feedback
+- Progressive results
+
+### Hybrid Processing
+
+For meetings:
+- Stream during meeting
+- Batch after completion
+- Best of both modes
+- Maximum accuracy
+
+## Pipeline Orchestration
+
+### Error Handling
+
+Error recovery:
+- **Automatic Retry**: Failed tasks retry up to 3 times
+- **Partial Recovery**: Continue with successful chunks
+- **Fallback Models**: Use alternative models on failure
+- **Error Reporting**: Detailed error messages
+
+### Progress Tracking
+
+Real-time progress updates:
+- **Chunk Progress**: Track individual chunk processing
+- **Overall Progress**: Percentage completion
+- **ETA Calculation**: Estimated completion time
+- **WebSocket Updates**: Live progress to clients
+
+## Optimization Strategies
+
+### GPU Utilization
+
+Maximize GPU efficiency:
+- **Batch Processing**: Process multiple chunks together
+- **Model Caching**: Keep models loaded in memory
+- **Dynamic Batching**: Adjust batch size based on GPU memory
+- **Multi-GPU Support**: Distribute across available GPUs
+
+### Memory Management
+
+Efficient memory usage:
+- **Streaming Processing**: Process large files in chunks
+- **Garbage Collection**: Clean up after each chunk
+- **Memory Limits**: Prevent out-of-memory errors
+- **Disk Caching**: Use disk for large intermediate results
+
+### Network Optimization
+
+Minimize network overhead:
+- **Compression**: Compress audio before transfer
+- **CDN Integration**: Use CDN for static assets
+- **Connection Pooling**: Reuse network connections
+- **Parallel Uploads**: Multiple concurrent uploads
+
+## Quality Assurance
+
+### Accuracy Metrics
+
+Monitor processing quality:
+- **Word Error Rate (WER)**: Transcription accuracy
+- **Diarization Error Rate (DER)**: Speaker identification accuracy
+- **Summary Coherence**: Summary quality metrics
+
+### Validation Steps
+
+Ensure output quality:
+- **Confidence Thresholds**: Filter low-confidence segments
+- **Consistency Checks**: Verify timeline consistency
+- **Language Validation**: Ensure correct language detection
+- **Format Validation**: Check output format compliance
+
+## Advanced Features
+
+### Custom Models
+
+Use your own models:
+- **Fine-tuned Whisper**: Domain-specific models
+- **Custom Diarization**: Trained on your speakers
+- **Specialized Post-processing**: Industry-specific formatting
+
+### Pipeline Extensions
+
+Add custom processing steps:
+- **Sentiment Analysis**: Analyze emotional tone
+- **Entity Extraction**: Identify people, places, organizations
+- **Custom Metrics**: Calculate domain-specific metrics
+- **Integration Hooks**: Call external services

docs/docs/installation/auth-setup.md

@@ -0,0 +1,285 @@
+---
+sidebar_position: 5
+title: Authentication Setup
+---
+
+# Authentication Setup
+
+This page covers authentication setup in detail. For the complete deployment guide, see [Deployment Guide](./overview).
+
+Reflector uses [Authentik](https://goauthentik.io/) for OAuth/OIDC authentication. This guide walks you through setting up Authentik and connecting it to Reflector.
+
+The guide simplistically sets Authentic on the same server as Reflector. You can use your own Authentic instance instead.
+
+## Overview
+
+Reflector's authentication flow:
+1. User clicks "Sign In" on frontend
+2. Frontend redirects to Authentik login page
+3. User authenticates with Authentik
+4. Authentik redirects back with OAuth tokens
+5. Frontend stores tokens, backends verify JWT signature
+
+## Option 1: Self-Hosted Authentik (Same Server)
+
+This setup runs Authentik on the same server as Reflector, with Caddy proxying to both.
+
+### Deploy Authentik
+
+```bash
+# Create directory for Authentik
+mkdir -p ~/authentik && cd ~/authentik
+
+# Download docker-compose file
+curl -O https://goauthentik.io/docker-compose.yml
+
+# Generate secrets and bootstrap credentials
+cat > .env << 'EOF'
+PG_PASS=$(openssl rand -base64 36 | tr -d '\n')
+AUTHENTIK_SECRET_KEY=$(openssl rand -base64 60 | tr -d '\n')
+# Privacy-focused choice for self-hosted deployments
+AUTHENTIK_ERROR_REPORTING__ENABLED=false
+AUTHENTIK_BOOTSTRAP_PASSWORD=YourSecurePassword123
+AUTHENTIK_BOOTSTRAP_EMAIL=admin@example.com
+EOF
+
+# Start Authentik
+sudo docker compose up -d
+```
+
+Authentik takes ~2 minutes to run migrations and apply blueprints on first start.
+
+### Connect Authentik to Reflector's Network
+
+If Authentik runs in a separate Docker Compose project, connect it to Reflector's network so Caddy can proxy to it:
+
+```bash
+# Wait for Authentik to be healthy
+# Connect Authentik server to Reflector's network
+sudo docker network connect reflector_default authentik-server-1
+```
+
+**Important:** This step must be repeated if you restart Authentik with `docker compose down`. Add it to your deployment scripts or use `docker compose up -d` (which preserves containers) instead of down/up.
+
+### Add Authentik to Caddy
+
+Uncomment the Authentik section in your `Caddyfile` and set your domain:
+
+```bash
+nano Caddyfile
+```
+
+Uncomment and edit:
+```
+{$AUTHENTIK_DOMAIN:authentik.example.com} {
+    reverse_proxy authentik-server-1:9000
+}
+```
+
+Reload Caddy:
+```bash
+docker compose -f docker-compose.prod.yml exec caddy caddy reload --config /etc/caddy/Caddyfile
+```
+
+### Create OAuth2 Provider in Authentik
+
+**Option A: Automated Setup (Recommended)**
+
+**Location: Reflector server**
+
+Run the setup script from the Reflector repository:
+
+```bash
+ssh user@your-server-ip
+cd ~/reflector
+./scripts/setup-authentik-oauth.sh https://authentik.example.com YourSecurePassword123 https://app.example.com
+```
+
+**Important:** The script must be run from the `~/reflector` directory on your server, as it creates files using relative paths.
+
+The script will output the configuration values to add to your `.env` files. Skip to "Update docker-compose.prod.yml".
+
+**Option B: Manual Setup**
+
+1. **Login to Authentik Admin** at `https://authentik.example.com/`
+   - Username: `akadmin`
+   - Password: The `AUTHENTIK_BOOTSTRAP_PASSWORD` you set in .env
+
+2. **Create OAuth2 Provider:**
+   - Go to **Applications > Providers > Create**
+   - Select **OAuth2/OpenID Provider**
+   - Configure:
+     - **Name**: `Reflector`
+     - **Authorization flow**: `default-provider-authorization-implicit-consent`
+     - **Client type**: `Confidential`
+     - **Client ID**: Note this value (auto-generated)
+     - **Client Secret**: Note this value (auto-generated)
+     - **Redirect URIs**: Add entry with:
+       ```
+       https://app.example.com/api/auth/callback/authentik
+       ```
+   - Scroll down to **Advanced protocol settings**
+   - In **Scopes**, add these three mappings:
+     - `authentik default OAuth Mapping: OpenID 'email'`
+     - `authentik default OAuth Mapping: OpenID 'openid'`
+     - `authentik default OAuth Mapping: OpenID 'profile'`
+   - Click **Finish**
+
+3. **Create Application:**
+   - Go to **Applications > Applications > Create**
+   - Configure:
+     - **Name**: `Reflector`
+     - **Slug**: `reflector` (auto-filled)
+     - **Provider**: Select the `Reflector` provider you just created
+   - Click **Create**
+
+### Get Public Key for JWT Verification
+
+**Location: Reflector server**
+
+Extract the public key from Authentik's JWKS endpoint:
+
+```bash
+mkdir -p ~/reflector/server/reflector/auth/jwt/keys
+curl -s https://authentik.example.com/application/o/reflector/jwks/ | \
+  jq -r '.keys[0].x5c[0]' | base64 -d | openssl x509 -pubkey -noout \
+  > ~/reflector/server/reflector/auth/jwt/keys/authentik_public.pem
+```
+
+### Update docker-compose.prod.yml
+
+**Location: Reflector server**
+
+**Note:** This step is already done in the current `docker-compose.prod.yml`. Verify the volume mounts exist:
+
+```yaml
+server:
+  image: monadicalsas/reflector-backend:latest
+  # ... other config ...
+  volumes:
+    - server_data:/app/data
+    - ./server/reflector/auth/jwt/keys:/app/reflector/auth/jwt/keys:ro
+
+worker:
+  image: monadicalsas/reflector-backend:latest
+  # ... other config ...
+  volumes:
+    - server_data:/app/data
+    - ./server/reflector/auth/jwt/keys:/app/reflector/auth/jwt/keys:ro
+```
+
+### Configure Reflector Backend
+
+**Location: Reflector server**
+
+Update `server/.env`:
+```env
+# Authentication
+AUTH_BACKEND=jwt
+AUTH_JWT_PUBLIC_KEY=authentik_public.pem
+AUTH_JWT_AUDIENCE=<your-client-id>
+CORS_ALLOW_CREDENTIALS=true
+```
+
+Replace `<your-client-id>` with the Client ID from previous steps.
+
+### Configure Reflector Frontend
+
+**Location: Reflector server**
+
+Update `www/.env`:
+```env
+# Authentication
+FEATURE_REQUIRE_LOGIN=true
+
+# Authentik OAuth
+AUTHENTIK_ISSUER=https://authentik.example.com/application/o/reflector
+AUTHENTIK_REFRESH_TOKEN_URL=https://authentik.example.com/application/o/token/
+AUTHENTIK_CLIENT_ID=<your-client-id>
+AUTHENTIK_CLIENT_SECRET=<your-client-secret>
+
+# NextAuth
+NEXTAUTH_SECRET=<generate-with-openssl-rand-hex-32>
+```
+
+### Restart Services
+
+**Location: Reflector server**
+
+```bash
+cd ~/reflector
+sudo docker compose -f docker-compose.prod.yml up -d --force-recreate server worker web
+```
+
+### Verify Authentication
+
+1. Visit `https://app.example.com`
+2. Click "Log in" or navigate to `/api/auth/signin`
+3. Click "Sign in with Authentik"
+4. Login with your Authentik credentials
+5. You should be redirected back and see "Log out" in the header
+
+## Option 2: Disable Authentication
+
+For testing or internal deployments where authentication isn't needed:
+
+**Backend `server/.env`:**
+```env
+AUTH_BACKEND=none
+```
+
+**Frontend `www/.env`:**
+```env
+FEATURE_REQUIRE_LOGIN=false
+```
+
+**Note:** The pre-built Docker images have `FEATURE_REQUIRE_LOGIN=true` baked in. To disable auth, you'll need to rebuild the frontend image with the env var set at build time, or set up Authentik.
+
+## Troubleshooting
+
+### "Invalid redirect URI" error
+- Verify the redirect URI in Authentik matches exactly:
+  ```
+  https://app.example.com/api/auth/callback/authentik
+  ```
+- Check for trailing slashes - they must match exactly
+
+### "Invalid audience" JWT error
+- Ensure `AUTH_JWT_AUDIENCE` in `server/.env` matches the Client ID from Authentik
+- The audience value is the OAuth Client ID, not the issuer URL
+
+### "JWT verification failed" error
+- Verify the public key file is mounted in the container
+- Check `AUTH_JWT_PUBLIC_KEY` points to the correct filename
+- Ensure the key was extracted from the correct provider's JWKS endpoint
+
+### Caddy returns 503 for Authentik
+- Verify Authentik container is connected to Reflector's network:
+  ```bash
+  sudo docker network connect reflector_default authentik-server-1
+  ```
+- Check Authentik is healthy: `cd ~/authentik && sudo docker compose ps`
+
+### Users can't access protected pages
+- Verify `FEATURE_REQUIRE_LOGIN=true` in frontend
+- Check `AUTH_BACKEND=jwt` in backend
+- Verify CORS settings allow credentials
+
+### Token refresh errors
+- Ensure Redis is running (frontend uses Redis for token caching)
+- Verify `KV_URL` is set correctly in frontend env
+- Check `AUTHENTIK_REFRESH_TOKEN_URL` is correct
+
+## API Key Authentication
+
+For programmatic access (scripts, integrations), users can generate API keys:
+
+1. Login to Reflector
+2. Go to Settings > API Keys
+3. Click "Generate New Key"
+4. Use the key in requests:
+   ```bash
+   curl -H "X-API-Key: your-api-key" https://api.example.com/v1/transcripts
+   ```
+
+API keys are stored hashed and can be revoked at any time.

docs/docs/installation/daily-setup.md

@@ -0,0 +1,165 @@
+---
+sidebar_position: 6
+title: Daily.co Setup
+---
+
+# Daily.co Setup
+
+This page covers Daily.co video platform setup for live meeting rooms. For the complete deployment guide, see [Deployment Guide](./overview).
+
+Daily.co enables live video meetings with automatic recording and transcription.
+
+## What You'll Set Up
+
+```
+User joins meeting → Daily.co video room → Recording to S3 → [Webhook] → Reflector transcribes
+```
+
+## Prerequisites
+
+- [ ] **Daily.co account** - Free tier at https://dashboard.daily.co
+- [ ] **AWS account** - For S3 storage
+- [ ] **Reflector deployed** - Complete steps from [Deployment Guide](./overview)
+
+---
+
+## Create Daily.co Account
+
+1. Visit https://dashboard.daily.co and sign up
+2. Verify your email
+3. Note your subdomain (e.g., `yourname.daily.co` → subdomain is `yourname`)
+
+---
+
+## Get Daily.co API Key
+
+1. In Daily.co dashboard, go to **Developers**
+2. Click **API Keys**
+3. Click **Create API Key**
+4. Copy the key (starts with a long string)
+
+Save this for later.
+
+---
+
+## Create AWS S3 Bucket
+
+Daily.co needs somewhere to store recordings before Reflector processes them.
+
+```bash
+# Choose a unique bucket name
+BUCKET_NAME="reflector-dailyco-yourname" # -yourname is not a requirement, you can name the bucket as you wish
+AWS_REGION="us-east-1"
+
+# Create bucket
+aws s3 mb s3://$BUCKET_NAME --region $AWS_REGION
+
+# Enable versioning (required)
+aws s3api put-bucket-versioning \
+  --bucket $BUCKET_NAME \
+  --versioning-configuration Status=Enabled
+```
+
+---
+
+## Create IAM Role for Daily.co
+
+Daily.co needs permission to write recordings to your S3 bucket.
+
+Follow the guide https://docs.daily.co/guides/products/live-streaming-recording/storing-recordings-in-a-custom-s3-bucket
+
+Save the role ARN - you'll need it soon.
+
+It looks like: `arn:aws:iam::123456789012:role/DailyCo`
+
+Shortly, you'll need to set up a role and give this role your s3 bucket access
+
+No additional setup is required from Daily.co settings website side: the app code takes care of letting Daily know where to save the recordings.
+
+---
+
+## Configure Reflector
+
+**Location: Reflector server**
+
+Add to `server/.env`:
+
+```env
+# Daily.co Configuration
+DEFAULT_VIDEO_PLATFORM=daily
+DAILY_API_KEY=<your-api-key-from-daily-setup>
+DAILY_SUBDOMAIN=<your-subdomain-from-daily-setup>
+
+# S3 Storage for Daily.co recordings
+DAILYCO_STORAGE_AWS_BUCKET_NAME=<your-bucket-from-daily-setup>
+DAILYCO_STORAGE_AWS_REGION=us-east-1
+DAILYCO_STORAGE_AWS_ROLE_ARN=<your-role-arn-from-daily-setup>
+
+# Transcript storage (should already be configured from main setup)
+# TRANSCRIPT_STORAGE_BACKEND=aws
+# TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID=<your-key>
+# TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY=<your-secret>
+# TRANSCRIPT_STORAGE_AWS_BUCKET_NAME=<your-bucket-name>
+# TRANSCRIPT_STORAGE_AWS_REGION=<your-bucket-region>
+```
+
+---
+
+## Restart Services
+
+After changing `.env` files, reload with `up -d`:
+
+```bash
+sudo docker compose -f docker-compose.prod.yml up -d server worker
+```
+
+**Note**: `docker compose up -d` detects env changes and recreates containers automatically.
+
+---
+
+## Test Live Room
+
+1. Visit your Reflector frontend: `https://app.example.com`
+2. Go to **Rooms**
+3. Click **Create Room**
+4. Select **Daily** as the platform
+5. Allow camera/microphone access
+6. You should see Daily.co video interface
+7. Speak for 10-20 seconds
+8. Leave the meeting
+9. Recording should appear in **Transcripts** within 5 minutes (if webhooks aren't set up yet, see [Webhook Configuration](#webhook-configuration-optional) below)
+
+---
+
+## Troubleshooting
+
+### Recording doesn't appear in S3
+
+1. Check Daily.co dashboard → **Logs** for errors
+2. Verify IAM role trust policy has correct Daily.co account ID and your Daily.co subdomain
+3. Verify that the bucket has
+
+### Recording in S3 but not transcribed
+
+1. Check webhook is configured (Reflector should auto-create it)
+2. Check worker logs:
+   ```bash
+   docker compose -f docker-compose.prod.yml logs worker --tail 50
+   ```
+3. Verify `DAILYCO_STORAGE_AWS_*` vars in `server/.env`
+
+### "Access Denied" when Daily.co tries to write to S3
+
+1. Double-check IAM role ARN in Daily.co settings
+2. Verify bucket name matches exactly
+3. Check IAM policy has `s3:PutObject` permission
+
+---
+
+## Webhook Configuration [optional]
+
+`manage_daily_webhook.py` script guides you through creating a webhook for Daily recordings.
+
+The webhook isn't required - polling mechanism is the default and performed automatically.
+
+This guide won't go deep into webhook setup.

docs/docs/installation/docker-setup.md

@@ -0,0 +1,192 @@
+---
+sidebar_position: 3
+title: Docker Reference
+---
+
+# Docker Reference
+
+This page documents the Docker Compose configuration for Reflector. For the complete deployment guide, see [Deployment Guide](./overview).
+
+## Services
+
+The `docker-compose.prod.yml` includes these services:
+
+| Service | Image | Purpose |
+|---------|-------|---------|
+| `web` | `monadicalsas/reflector-frontend` | Next.js frontend |
+| `server` | `monadicalsas/reflector-backend` | FastAPI backend |
+| `worker` | `monadicalsas/reflector-backend` | Celery worker for background tasks |
+| `beat` | `monadicalsas/reflector-backend` | Celery beat scheduler |
+| `redis` | `redis:7.2-alpine` | Message broker and cache |
+| `postgres` | `postgres:17-alpine` | Primary database |
+| `caddy` | `caddy:2-alpine` | Reverse proxy with auto-SSL |
+
+## Environment Files
+
+Reflector uses two separate environment files:
+
+### Backend (`server/.env`)
+
+Used by: `server`, `worker`, `beat`
+
+Key variables:
+```env
+# Database connection
+DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
+
+# Redis
+REDIS_HOST=redis
+CELERY_BROKER_URL=redis://redis:6379/1
+CELERY_RESULT_BACKEND=redis://redis:6379/1
+
+# API domain and CORS
+BASE_URL=https://api.example.com
+CORS_ORIGIN=https://app.example.com
+
+# Modal GPU processing
+TRANSCRIPT_BACKEND=modal
+TRANSCRIPT_URL=https://...
+TRANSCRIPT_MODAL_API_KEY=...
+```
+
+### Frontend (`www/.env`)
+
+Used by: `web`
+
+Key variables:
+```env
+# Domain configuration
+SITE_URL=https://app.example.com
+API_URL=https://api.example.com
+WEBSOCKET_URL=wss://api.example.com
+SERVER_API_URL=http://server:1250
+
+# Authentication
+NEXTAUTH_URL=https://app.example.com
+NEXTAUTH_SECRET=...
+```
+
+Note: `API_URL` is used client-side (browser), `SERVER_API_URL` is used server-side (SSR).
+
+## Volumes
+
+| Volume | Purpose |
+|--------|---------|
+| `redis_data` | Redis persistence |
+| `postgres_data` | PostgreSQL data |
+| `server_data` | Uploaded files, local storage |
+| `caddy_data` | SSL certificates |
+| `caddy_config` | Caddy configuration |
+
+## Network
+
+All services share the default network. The network is marked `attachable: true` to allow external containers (like Authentik) to join.
+
+## Common Commands
+
+### Start all services
+```bash
+docker compose -f docker-compose.prod.yml up -d
+```
+
+### View logs
+```bash
+# All services
+docker compose -f docker-compose.prod.yml logs -f
+
+# Specific service
+docker compose -f docker-compose.prod.yml logs server --tail 50
+```
+
+### Restart a service
+```bash
+# Quick restart (doesn't reload .env changes)
+docker compose -f docker-compose.prod.yml restart server
+
+# Reload .env and restart
+docker compose -f docker-compose.prod.yml up -d server
+```
+
+### Run database migrations
+```bash
+docker compose -f docker-compose.prod.yml exec server uv run alembic upgrade head
+```
+
+### Access database
+```bash
+docker compose -f docker-compose.prod.yml exec postgres psql -U reflector
+```
+
+### Pull latest images
+```bash
+docker compose -f docker-compose.prod.yml pull
+docker compose -f docker-compose.prod.yml up -d
+```
+
+### Stop all services
+```bash
+docker compose -f docker-compose.prod.yml down
+```
+
+### Full reset (WARNING: deletes data)
+```bash
+docker compose -f docker-compose.prod.yml down -v
+```
+
+## Customization
+
+### Using a different database
+
+To use an external PostgreSQL:
+
+1. Remove `postgres` service from compose file
+2. Update `DATABASE_URL` in `server/.env`:
+   ```env
+   DATABASE_URL=postgresql+asyncpg://user:pass@external-host:5432/reflector
+   ```
+
+### Using external Redis
+
+1. Remove `redis` service from compose file
+2. Update Redis settings in `server/.env`:
+   ```env
+   REDIS_HOST=external-redis-host
+   CELERY_BROKER_URL=redis://external-redis-host:6379/1
+   ```
+
+### Adding Authentik
+
+To add Authentik for authentication, see [Authentication Setup](./auth-setup). Quick steps:
+
+1. Deploy Authentik separately
+2. Connect to Reflector's network:
+   ```bash
+   docker network connect reflector_default authentik-server-1
+   ```
+3. Add to Caddyfile:
+   ```
+   authentik.example.com {
+       reverse_proxy authentik-server-1:9000
+   }
+   ```
+
+## Caddyfile Reference
+
+The Caddyfile supports environment variable substitution:
+
+```
+{$FRONTEND_DOMAIN:app.example.com} {
+    reverse_proxy web:3000
+}
+
+{$API_DOMAIN:api.example.com} {
+    reverse_proxy server:1250
+}
+```
+
+Set `FRONTEND_DOMAIN` and `API_DOMAIN` environment variables, or edit the file directly.
+
+### Reload Caddy after changes
+```bash
+docker compose -f docker-compose.prod.yml exec caddy caddy reload --config /etc/caddy/Caddyfile
+```

docs/docs/installation/docs-deployment.md

@@ -0,0 +1,139 @@
+---
+sidebar_position: 10
+title: Docs Website Deployment
+---
+
+# Docs Website Deployment
+
+This guide covers deploying the Reflector documentation website. **This is optional and intended for internal/experimental use only.**
+
+## Overview
+
+The documentation is built using Docusaurus and deployed as a static nginx-served site.
+
+## Prerequisites
+
+- Reflector already deployed (Steps 1-7 from [Deployment Guide](./overview))
+- DNS A record for docs subdomain (e.g., `docs.example.com`)
+
+## Deployment Steps
+
+### Step 1: Pre-fetch OpenAPI Spec
+
+The docs site includes API reference from your running backend. Fetch it before building:
+
+```bash
+cd ~/reflector
+docker compose -f docker-compose.prod.yml exec server curl -s http://localhost:1250/openapi.json > docs/static/openapi.json
+```
+
+This creates `docs/static/openapi.json` (should be ~70KB) which will be copied during Docker build.
+
+**Why not fetch during build?** Docker build containers are network-isolated and can't access the running backend services.
+
+### Step 2: Verify Dockerfile
+
+The Dockerfile is already in `docs/Dockerfile`:
+
+```dockerfile
+FROM node:18-alpine AS builder
+WORKDIR /app
+
+# Copy package files
+COPY package*.json ./
+
+# Inshall dependencies
+RUN npm ci
+
+# Copy source (includes static/openapi.json if pre-fetched)
+COPY . .
+
+# Fix docusaurus config: change onBrokenLinks to 'warn' for Docker build
+RUN sed -i "s/onBrokenLinks: 'throw'/onBrokenLinks: 'warn'/g" docusaurus.config.ts
+
+# Build static site
+RUN npx docusaurus build
+
+FROM nginx:alpine
+COPY --from=builder /app/build /usr/share/nginx/html
+EXPOSE 80
+CMD ["nginx", "-g", "daemon off;"]
+```
+
+### Step 3: Add Docs Service to docker-compose.prod.yml
+
+Add this service to `docker-compose.prod.yml`:
+
+```yaml
+docs:
+  build: ./docs
+  restart: unless-stopped
+  networks:
+    - default
+```
+
+### Step 4: Add Caddy Route
+
+Add to `Caddyfile`:
+
+```
+{$DOCS_DOMAIN:docs.example.com} {
+    reverse_proxy docs:80
+}
+```
+
+### Step 5: Build and Deploy
+
+```bash
+cd ~/reflector
+docker compose -f docker-compose.prod.yml up -d --build docs
+docker compose -f docker-compose.prod.yml exec caddy caddy reload --config /etc/caddy/Caddyfile
+```
+
+### Step 6: Verify
+
+```bash
+# Check container status
+docker compose -f docker-compose.prod.yml ps docs
+# Should show "Up"
+
+# Test URL
+curl -I https://docs.example.com
+# Should return HTTP/2 200
+```
+
+Visit `https://docs.example.com` in your browser
+
+## Updating Documentation
+
+When docs are updated:
+
+```bash
+cd ~/reflector
+git pull
+
+# Refresh OpenAPI spec from backend
+docker compose -f docker-compose.prod.yml exec server curl -s http://localhost:1250/openapi.json > docs/static/openapi.json
+
+# Rebuild docs
+docker compose -f docker-compose.prod.yml up -d --build docs
+```
+
+## Troubleshooting
+
+### Missing openapi.json during build
+- Make sure you ran the pre-fetch step first (Step 1)
+- Verify `docs/static/openapi.json` exists and is ~70KB
+- Re-run: `docker compose exec server curl -s http://localhost:1250/openapi.json > docs/static/openapi.json`
+
+### Build fails with "Docusaurus found broken links"
+- This happens if `onBrokenLinks: 'throw'` is set in docusaurus.config.ts
+- Solution is already in Dockerfile: uses `sed` to change to `'warn'` during build
+
+### 404 on all pages
+- Docusaurus baseUrl might be wrong - should be `/` for custom domain
+- Check `docs/docusaurus.config.ts`: `baseUrl: '/'`
+
+### Docs not updating after rebuild
+- Force rebuild: `docker compose -f docker-compose.prod.yml build --no-cache docs`
+- Then: `docker compose -f docker-compose.prod.yml up -d docs`

docs/docs/installation/modal-setup.md

@@ -0,0 +1,171 @@
+---
+sidebar_position: 4
+title: Modal.com Setup
+---
+
+# Modal.com Setup
+
+This page covers Modal.com GPU setup in detail. For the complete deployment guide, see [Deployment Guide](./overview).
+
+Reflector uses [Modal.com](https://modal.com) for GPU-accelerated audio processing. This guide walks you through deploying the required GPU functions.
+
+## What is Modal.com?
+
+Modal is a serverless GPU platform. You deploy Python code that runs on their GPUs, and pay only for actual compute time. Reflector uses Modal for:
+
+- **Transcription**: Whisper model for speech-to-text
+- **Diarization**: Pyannote model for speaker identification
+
+## Prerequisites
+
+1. **Modal.com account** - Sign up at https://modal.com (free tier available)
+2. **HuggingFace account** - Required for Pyannote diarization models:
+   - Create account at https://huggingface.co
+   - Accept **both** Pyannote licenses:
+     - https://huggingface.co/pyannote/speaker-diarization-3.1
+     - https://huggingface.co/pyannote/segmentation-3.0
+   - Generate access token at https://huggingface.co/settings/tokens
+
+## Deployment
+
+**Location: YOUR LOCAL COMPUTER (laptop/desktop)**
+
+Modal CLI requires browser authentication, so this must run on a machine with a browser - not on a headless server.
+
+### Install Modal CLI
+
+```bash
+uv tool install modal
+```
+
+### Authenticate with Modal
+
+```bash
+modal setup
+```
+
+This opens your browser for authentication. Complete the login flow.
+
+### Clone Repository and Deploy
+
+```bash
+git clone https://github.com/monadical-sas/reflector.git
+cd reflector/gpu/modal_deployments
+./deploy-all.sh --hf-token YOUR_HUGGINGFACE_TOKEN
+```
+
+Or run interactively (script will prompt for token):
+```bash
+./deploy-all.sh
+```
+
+### What the Script Does
+
+1. **Prompts for HuggingFace token** - Needed to download the Pyannote diarization model
+2. **Generates API key** - Creates a secure random key for authenticating requests to GPU functions
+3. **Creates Modal secrets**:
+   - `hf_token` - Your HuggingFace token
+   - `reflector-gpu` - The generated API key
+4. **Deploys GPU functions** - Transcriber (Whisper) and Diarizer (Pyannote)
+5. **Outputs configuration** - Prints URLs and API key to console
+
+### Example Output
+
+```
+==========================================
+Reflector GPU Functions Deployment
+==========================================
+
+Generating API key for GPU services...
+Creating Modal secrets...
+  -> Creating secret: hf_token
+  -> Creating secret: reflector-gpu
+
+Deploying transcriber (Whisper)...
+  -> https://yourname--reflector-transcriber-web.modal.run
+
+Deploying diarizer (Pyannote)...
+  -> https://yourname--reflector-diarizer-web.modal.run
+
+==========================================
+Deployment complete!
+==========================================
+
+Copy these values to your server's server/.env file:
+
+# --- Modal GPU Configuration ---
+TRANSCRIPT_BACKEND=modal
+TRANSCRIPT_URL=https://yourname--reflector-transcriber-web.modal.run
+TRANSCRIPT_MODAL_API_KEY=abc123...
+
+DIARIZATION_BACKEND=modal
+DIARIZATION_URL=https://yourname--reflector-diarizer-web.modal.run
+DIARIZATION_MODAL_API_KEY=abc123...
+# --- End Modal Configuration ---
+```
+
+Copy the output and paste it into your `server/.env` file on your server.
+
+## Costs
+
+Modal charges based on GPU compute time:
+- Functions scale to zero when not in use (no cost when idle)
+- You only pay for actual processing time
+- Free tier includes $30/month of credits
+
+Typical costs for audio processing:
+- Transcription: ~$0.01-0.05 per minute of audio
+- Diarization: ~$0.02-0.10 per minute of audio
+
+## Troubleshooting
+
+### "Modal CLI not installed"
+```bash
+uv tool install modal
+```
+
+### "Not authenticated with Modal"
+```bash
+modal setup
+# Complete browser authentication
+```
+
+### "Failed to create secret hf_token"
+- Verify your HuggingFace token is valid
+- Ensure you've accepted the Pyannote license
+- Token needs `read` permission
+
+### Deployment fails
+Check the Modal dashboard for detailed error logs:
+- Visit https://modal.com/apps
+- Click on the failed function
+- View build and runtime logs
+
+### Re-running deployment
+The script is safe to re-run. It will:
+- Update existing secrets if they exist
+- Redeploy functions with latest code
+- Output new configuration (API key stays the same if secret exists)
+
+## Manual Deployment (Advanced)
+
+If you prefer to deploy functions individually:
+
+```bash
+cd gpu/modal_deployments
+
+# Create secrets manually
+modal secret create hf_token HF_TOKEN=your-hf-token
+modal secret create reflector-gpu REFLECTOR_GPU_APIKEY=$(openssl rand -hex 32)
+
+# Deploy each function
+modal deploy reflector_transcriber.py
+modal deploy reflector_diarizer.py
+```
+
+## Monitoring
+
+View your deployed functions and their usage:
+- **Modal Dashboard**: https://modal.com/apps
+- **Function logs**: Click on any function to view logs
+- **Usage**: View compute time and costs in the dashboard

docs/docs/installation/overview.md

@@ -0,0 +1,411 @@
+---
+sidebar_position: 1
+title: Deployment Guide
+---
+
+# Deployment Guide
+
+This guide walks you through deploying Reflector from scratch. Follow these steps in order.
+
+## What You'll Set Up
+
+```mermaid
+flowchart LR
+    User --> Caddy["Caddy (auto-SSL)"]
+    Caddy --> Frontend["Frontend (Next.js)"]
+    Caddy --> Backend["Backend (FastAPI)"]
+    Backend --> PostgreSQL
+    Backend --> Redis
+    Backend --> Workers["Celery Workers"]
+    Workers --> PostgreSQL
+    Workers --> Redis
+    Workers --> GPU["GPU Processing<br/>(Modal.com OR Self-hosted)"]
+```
+
+## Prerequisites
+
+Before starting, you need:
+
+- **Production server** -  4+ cores, 8GB+ RAM, public IP
+- **Two domain names** - e.g., `app.example.com` (frontend) and `api.example.com` (backend)
+- **GPU processing** - Choose one:
+  - Modal.com account, OR
+  - GPU server with NVIDIA GPU (8GB+ VRAM)
+- **HuggingFace account** - Free at https://huggingface.co
+  - Accept both Pyannote licenses (required for speaker diarization):
+    - https://huggingface.co/pyannote/speaker-diarization-3.1
+    - https://huggingface.co/pyannote/segmentation-3.0
+- **LLM API** - For summaries and topic detection. Choose one:
+  - OpenAI API key at https://platform.openai.com/account/api-keys, OR
+  - Any OpenAI-compatible endpoint (vLLM, LiteLLM, Ollama, etc.)
+- **AWS S3 bucket** - For storing audio files and transcripts (see [S3 Setup](#create-s3-bucket-for-transcript-storage) below)
+
+### Optional (for live meeting rooms)
+
+- [ ] **Daily.co account** - Free tier at https://dashboard.daily.co
+- [ ] **AWS S3 bucket + IAM Role** - For Daily.co recording storage (separate from transcript storage)
+
+---
+
+## Configure DNS
+
+```
+Type: A    Name: app    Value: <your-server-ip>
+Type: A    Name: api    Value: <your-server-ip>
+```
+
+---
+
+## Deploy GPU Processing
+
+Reflector requires GPU processing for transcription and speaker diarization. Choose one option:
+
+| | **Modal.com (Cloud)** | **Self-Hosted GPU** |
+|---|---|---|
+| **Best for** | No GPU hardware, zero maintenance | Own GPU server, full control |
+| **Pricing** | Pay-per-use | Fixed infrastructure cost |
+
+### Option A: Modal.com (Serverless Cloud GPU)
+
+#### Accept HuggingFace Licenses
+
+Visit both pages and click "Accept":
+- https://huggingface.co/pyannote/speaker-diarization-3.1
+- https://huggingface.co/pyannote/segmentation-3.0
+
+Generate a token at https://huggingface.co/settings/tokens
+
+#### Deploy to Modal
+
+There's an install script to help with this setup. It's using modal API to set all necessary moving parts.
+
+As an alternative, all those operations that script does could be performed in modal settings in modal UI.
+
+```bash
+uv tool install modal
+modal setup  # opens browser for authentication
+
+git clone https://github.com/monadical-sas/reflector.git
+cd reflector/gpu/modal_deployments
+./deploy-all.sh --hf-token YOUR_HUGGINGFACE_TOKEN
+```
+
+**Save the output** - copy the configuration block, you'll need it soon.
+
+See [Modal Setup](./modal-setup) for troubleshooting and details.
+
+### Option B: Self-Hosted GPU
+
+**Location: YOUR GPU SERVER**
+
+Requires: NVIDIA GPU with 8GB+ VRAM, Ubuntu 22.04+, 40-50GB disk.
+
+See [Self-Hosted GPU Setup](./self-hosted-gpu-setup) for complete instructions. Quick summary:
+
+1. Install NVIDIA drivers and Docker
+2. Clone repository: `git clone https://github.com/monadical-sas/reflector.git`
+3. Configure `.env` with HuggingFace token
+4. Start service with Docker compose
+5. Set up Caddy reverse proxy for HTTPS
+
+**Save your API key and HTTPS URL** - you'll need them soon.
+
+---
+
+## Prepare Server
+
+**Location: dedicated reflector server**
+
+### Install Docker
+
+```bash
+ssh user@your-server-ip
+
+curl -fsSL https://get.docker.com | sh
+sudo usermod -aG docker $USER
+
+# Log out and back in for group changes
+exit
+ssh user@your-server-ip
+
+docker --version  # verify
+```
+
+### Firewall
+
+Ensure ports 80 (HTTP) and 443 (HTTPS) are open for inbound traffic. The method varies by cloud provider and OS configuration.
+
+**For live transcription without Daily/Whereby rooms**: WebRTC requires UDP port range 49152-65535 for media traffic.
+
+### Clone Repository
+
+The Docker images contain all application code. You clone the repository for configuration files and the compose definition:
+
+```bash
+git clone https://github.com/monadical-sas/reflector.git
+cd reflector
+```
+
+---
+
+## Create S3 Bucket for Transcript Storage
+
+Reflector requires AWS S3 to store audio files during processing.
+
+### Create Bucket
+
+```bash
+# Choose a unique bucket name
+BUCKET_NAME="reflector-transcripts-yourname"
+AWS_REGION="us-east-1"
+
+# Create bucket
+aws s3 mb s3://$BUCKET_NAME --region $AWS_REGION
+```
+
+### Create IAM User
+
+Create an IAM user with S3 access for Reflector:
+
+1. Go to AWS IAM Console → Users → Create User
+2. Name: `reflector-transcripts`
+3. Attach policy: `AmazonS3FullAccess` (or create a custom policy for just your bucket)
+4. Create access key (Access key ID + Secret access key)
+
+Save these credentials - you'll need them in the next step.
+
+---
+
+## Configure Environment
+
+Reflector has two env files:
+- `server/.env` - Backend configuration
+- `www/.env` - Frontend configuration
+
+### Backend Configuration
+
+```bash
+cp server/.env.example server/.env
+nano server/.env
+```
+
+**Required settings:**
+```env
+# Database (defaults work with docker-compose.prod.yml)
+DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
+
+# Redis
+REDIS_HOST=redis
+CELERY_BROKER_URL=redis://redis:6379/1
+CELERY_RESULT_BACKEND=redis://redis:6379/1
+
+# Your domains
+BASE_URL=https://api.example.com
+CORS_ORIGIN=https://app.example.com
+CORS_ALLOW_CREDENTIALS=true
+
+# Secret key - generate with: openssl rand -hex 32
+SECRET_KEY=<your-generated-secret>
+
+# GPU Processing - choose ONE option:
+
+# Option A: Modal.com (paste from deploy-all.sh output)
+TRANSCRIPT_BACKEND=modal
+TRANSCRIPT_URL=https://yourname--reflector-transcriber-web.modal.run
+TRANSCRIPT_MODAL_API_KEY=<from-deploy-all.sh-output>
+DIARIZATION_BACKEND=modal
+DIARIZATION_URL=https://yourname--reflector-diarizer-web.modal.run
+DIARIZATION_MODAL_API_KEY=<from-deploy-all.sh-output>
+
+# Option B: Self-hosted GPU (use your GPU server URL and API key)
+# TRANSCRIPT_BACKEND=modal
+# TRANSCRIPT_URL=https://gpu.example.com
+# TRANSCRIPT_MODAL_API_KEY=<your-generated-api-key>
+# DIARIZATION_BACKEND=modal
+# DIARIZATION_URL=https://gpu.example.com
+# DIARIZATION_MODAL_API_KEY=<your-generated-api-key>
+
+# Storage - where to store audio files and transcripts (requires AWS S3)
+TRANSCRIPT_STORAGE_BACKEND=aws
+TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID=your-aws-access-key
+TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY=your-aws-secret-key
+TRANSCRIPT_STORAGE_AWS_BUCKET_NAME=reflector-media
+TRANSCRIPT_STORAGE_AWS_REGION=us-east-1
+
+# LLM - for generating titles, summaries, and topics
+LLM_API_KEY=sk-your-openai-api-key
+LLM_MODEL=gpt-4o-mini
+# LLM_URL=https://api.openai.com/v1  # Optional: custom endpoint (vLLM, LiteLLM, Ollama, etc.)
+
+# Auth - disable for initial setup (see a dedicated step for authentication)
+AUTH_BACKEND=none
+```
+
+### Frontend Configuration
+
+```bash
+cp www/.env.example www/.env
+nano www/.env
+```
+
+**Required settings:**
+```env
+# Your domains
+SITE_URL=https://app.example.com
+API_URL=https://api.example.com
+WEBSOCKET_URL=wss://api.example.com
+SERVER_API_URL=http://server:1250
+
+# NextAuth
+NEXTAUTH_URL=https://app.example.com
+NEXTAUTH_SECRET=<generate-with-openssl-rand-hex-32>
+
+# Disable login requirement for initial setup
+FEATURE_REQUIRE_LOGIN=false
+```
+
+---
+
+## Configure Caddy
+
+```bash
+cp Caddyfile.example Caddyfile
+nano Caddyfile
+```
+
+Replace `example.com` with your domains. The `{$VAR:default}` syntax uses Caddy's env var substitution - you can either edit the file directly or set `FRONTEND_DOMAIN` and `API_DOMAIN` environment variables.
+
+```
+{$FRONTEND_DOMAIN:app.example.com} {
+    reverse_proxy web:3000
+}
+
+{$API_DOMAIN:api.example.com} {
+    reverse_proxy server:1250
+}
+```
+
+---
+
+## Start Services
+
+```bash
+docker compose -f docker-compose.prod.yml up -d
+```
+
+Wait for containers to start (first run may take 1-2 minutes to pull images and initialize).
+
+---
+
+## Verify Deployment
+
+### Check services
+```bash
+docker compose -f docker-compose.prod.yml ps
+# All should show "Up"
+```
+
+### Test API
+```bash
+curl https://api.example.com/health
+# Should return: {"status":"healthy"}
+```
+
+### Test Frontend
+- Visit https://app.example.com
+- You should see the Reflector interface
+- Try uploading an audio file to test transcription
+
+If any verification fails, see [Troubleshooting](#troubleshooting) below.
+
+---
+
+## Enable Authentication (Required for Live Rooms)
+
+By default, Reflector is open (no login required). **Authentication is required if you want to use Live Meeting Rooms.**
+
+See [Authentication Setup](./auth-setup) for full Authentik OAuth configuration.
+
+Quick summary:
+1. Deploy Authentik on your server
+2. Create OAuth provider in Authentik
+3. Extract public key for JWT verification
+4. Update `server/.env`: `AUTH_BACKEND=jwt` + `AUTH_JWT_AUDIENCE`
+5. Update `www/.env`: `FEATURE_REQUIRE_LOGIN=true` + Authentik credentials
+6. Mount JWT keys volume and restart services
+
+---
+
+## Enable Live Meeting Rooms
+
+**Requires: Authentication Step**
+
+Live rooms require Daily.co and AWS S3. See [Daily.co Setup](./daily-setup) for complete S3/IAM configuration instructions.
+
+Note that Reflector also supports Whereby as a call provider - this doc doesn't cover its setup yet.
+
+Quick config - Add to `server/.env`:
+
+```env
+DEFAULT_VIDEO_PLATFORM=daily
+DAILY_API_KEY=<from-daily.co-dashboard>
+DAILY_SUBDOMAIN=<your-daily-subdomain>
+
+# S3 for recording storage
+DAILYCO_STORAGE_AWS_BUCKET_NAME=<your-bucket>
+DAILYCO_STORAGE_AWS_REGION=us-east-1
+DAILYCO_STORAGE_AWS_ROLE_ARN=<arn:aws:iam::ACCOUNT:role/DailyCo>
+```
+
+Reload env and restart:
+```bash
+docker compose -f docker-compose.prod.yml up -d server worker
+```
+
+---
+
+## Troubleshooting
+
+### Check logs for errors
+```bash
+docker compose -f docker-compose.prod.yml logs server --tail 20
+docker compose -f docker-compose.prod.yml logs worker --tail 20
+```
+
+### Services won't start
+```bash
+docker compose -f docker-compose.prod.yml logs
+```
+
+### CORS errors in browser
+- Verify `CORS_ORIGIN` in `server/.env` matches your frontend domain exactly (including `https://`)
+- Reload env: `docker compose -f docker-compose.prod.yml up -d server`
+
+### SSL certificate errors
+- Caddy auto-provisions Let's Encrypt certificates
+- Ensure ports 80 and 443 are open
+- Check: `docker compose -f docker-compose.prod.yml logs caddy`
+
+### Transcription not working
+- Check Modal dashboard: https://modal.com/apps
+- Verify URLs in `server/.env` match deployed functions
+- Check worker logs: `docker compose -f docker-compose.prod.yml logs worker`
+
+### "Login required" but auth not configured
+- Set `FEATURE_REQUIRE_LOGIN=false` in `www/.env`
+- Rebuild frontend: `docker compose -f docker-compose.prod.yml up -d --force-recreate web`
+
+### Database migrations or connectivity issues
+Migrations run automatically on server startup. To check database connectivity or debug migration failures:
+
+```bash
+# Check server logs for migration errors
+docker compose -f docker-compose.prod.yml logs server | grep -i -E "(alembic|migration|database|postgres)"
+
+# Verify database connectivity
+docker compose -f docker-compose.prod.yml exec server uv run python -c "from reflector.db import engine; print('DB connected')"
+
+# Manually run migrations (if needed)
+docker compose -f docker-compose.prod.yml exec server uv run alembic upgrade head
+```
+

docs/docs/installation/requirements.md

@@ -0,0 +1,63 @@
+---
+sidebar_position: 2
+title: System Requirements
+---
+
+# System Requirements
+
+This page lists hardware and software requirements. For the complete deployment guide, see [Deployment Guide](./overview).
+
+## Server Requirements
+
+### Minimum Requirements
+
+- **CPU**: 4 cores
+- **RAM**: 8 GB
+- **Storage**: 50 GB SSD
+- **OS**: Ubuntu 22.04+ or compatible Linux
+- **Network**: Public IP address
+
+### Recommended Requirements
+
+- **CPU**: 8+ cores
+- **RAM**: 16 GB
+- **Storage**: 100 GB SSD
+- **Network**: 1 Gbps connection
+
+## Software Requirements
+
+- Docker Engine 20.10+
+- Docker Compose 2.0+
+
+## External Services
+
+### Required
+
+- **Two domain names** - One for frontend (e.g., `app.example.com`), one for API (e.g., `api.example.com`)
+- **Modal.com account** - For GPU-accelerated transcription and diarization (free tier available)
+- **HuggingFace account** - For Pyannote diarization model access
+- **LLM API** - For generating summaries and topic detection. Options:
+  - OpenAI API (https://platform.openai.com/account/api-keys)
+  - Any OpenAI-compatible endpoint (vLLM, LiteLLM, Ollama)
+  - Self-hosted: Phi-4 14B 4-bit recommended (~8GB VRAM)
+
+### Required for Live Meeting Rooms
+
+- **Daily.co account** - For video conferencing (free tier available at https://dashboard.daily.co)
+- **AWS S3 bucket + IAM Role** - For Daily.co to store recordings
+- **Another AWS S3 bucket (optional, can reuse the one above)** - For Reflector to store "compiled" mp3 files and transient diarization process temporary files
+
+### Optional
+
+- **AWS S3** - For cloud storage of recordings and transcripts
+- **Authentik** - For SSO/OIDC authentication
+- **Sentry** - For error tracking
+
+## Development Requirements
+
+For local development only (not required for production deployment):
+
+- Node.js 22+ (for frontend development)
+- Python 3.12+ (for backend development)
+- pnpm (for frontend package management)
+- uv (for Python package management)

docs/docs/installation/self-hosted-gpu-setup.md

@@ -0,0 +1,307 @@
+---
+sidebar_position: 5
+title: Self-Hosted GPU Setup
+---
+
+# Self-Hosted GPU Setup
+
+This guide covers deploying Reflector's GPU processing on your own server instead of Modal.com. For the complete deployment guide, see [Deployment Guide](./overview).
+
+## When to Use Self-Hosted GPU
+
+**Choose self-hosted GPU if you:**
+- Have GPU hardware available (NVIDIA required)
+- Want full control over processing
+- Prefer fixed infrastructure costs over pay-per-use
+- Have privacy or data locality requirements
+- Need to process audio without external API calls
+
+**Choose Modal.com instead if you:**
+- Don't have GPU hardware
+- Want zero infrastructure management
+- Prefer pay-per-use pricing
+- Need instant scaling for variable workloads
+
+See [Modal.com Setup](./modal-setup) for cloud GPU deployment.
+
+## What Gets Deployed
+
+The self-hosted GPU service provides the same API endpoints as Modal:
+- `POST /v1/audio/transcriptions` - Whisper transcription
+- `POST /v1/audio/transcriptions-from-url` - Transcribe from URL
+- `POST /diarize` - Pyannote speaker diarization
+- `POST /translate` - Audio translation
+
+Your main Reflector server connects to this service exactly like it connects to Modal - only the URL changes.
+
+## Prerequisites
+
+### Hardware
+- **GPU**: NVIDIA GPU with 8GB+ VRAM (tested on Tesla T4 with 15GB)
+- **CPU**: 4+ cores recommended
+- **RAM**: 8GB minimum, 16GB recommended
+- **Disk**: 40-50GB minimum
+
+### Software
+- Public IP address
+- Domain name with DNS A record pointing to server
+
+### Accounts
+- **HuggingFace account** with accepted Pyannote licenses:
+  - https://huggingface.co/pyannote/speaker-diarization-3.1
+  - https://huggingface.co/pyannote/segmentation-3.0
+- **HuggingFace access token** from https://huggingface.co/settings/tokens
+
+## Docker Deployment
+
+### Step 1: Install NVIDIA Driver
+
+```bash
+sudo apt update
+sudo apt install -y nvidia-driver-535
+sudo reboot
+
+# After reboot, verify installation
+nvidia-smi
+```
+
+Expected output: GPU details with driver version and CUDA version.
+
+### Step 2: Install Docker
+
+Follow the [official Docker installation guide](https://docs.docker.com/engine/install/ubuntu/) for your distribution.
+
+After installation, add your user to the docker group:
+
+```bash
+sudo usermod -aG docker $USER
+
+# Log out and back in for group changes
+exit
+# SSH back in
+```
+
+### Step 3: Install NVIDIA Container Toolkit
+
+```bash
+# Add NVIDIA repository and install toolkit
+curl -fsSL https://nvidia.github.io/libnvidia-container/gpgkey | \
+  sudo gpg --dearmor -o /usr/share/keyrings/nvidia-container-toolkit-keyring.gpg
+
+curl -s -L https://nvidia.github.io/libnvidia-container/stable/deb/nvidia-container-toolkit.list | \
+  sed 's#deb https://#deb [signed-by=/usr/share/keyrings/nvidia-container-toolkit-keyring.gpg] https://#g' | \
+  sudo tee /etc/apt/sources.list.d/nvidia-container-toolkit.list
+
+sudo apt-get update && sudo apt-get install -y nvidia-container-toolkit
+sudo nvidia-ctk runtime configure --runtime=docker
+sudo systemctl restart docker
+```
+
+### Step 4: Clone Repository and Configure
+
+```bash
+git clone https://github.com/monadical-sas/reflector.git
+cd reflector/gpu/self_hosted
+
+# Create environment file
+cat > .env << EOF
+REFLECTOR_GPU_APIKEY=$(openssl rand -hex 16)
+HF_TOKEN=your_huggingface_token_here
+EOF
+
+# Note the generated API key - you'll need it for main server config
+cat .env
+```
+
+### Step 5: Build and Start
+
+The repository includes a `compose.yml` file. Build and start:
+
+
+```bash
+# Build image (takes ~5 minutes, downloads ~10GB)
+sudo docker compose build
+
+# Start service
+sudo docker compose up -d
+
+# Wait for startup and verify
+sleep 30
+sudo docker compose logs
+```
+
+Look for: `INFO: Application startup complete. Uvicorn running on http://0.0.0.0:8000`
+
+### Step 7: Verify GPU Access
+
+```bash
+# Check GPU is accessible from container
+sudo docker exec $(sudo docker ps -q) nvidia-smi
+```
+
+Should show GPU with ~3GB VRAM used (models loaded).
+
+---
+
+## Configure HTTPS with Caddy
+
+Caddy handles SSL automatically.
+
+### Install Caddy
+
+```bash
+sudo apt install -y debian-keyring debian-archive-keyring apt-transport-https curl
+
+curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/gpg.key' | \
+  sudo gpg --dearmor -o /usr/share/keyrings/caddy-stable-archive-keyring.gpg
+
+curl -1sLf 'https://dl.cloudsmith.io/public/caddy/stable/debian.deb.txt' | \
+  sudo tee /etc/apt/sources.list.d/caddy-stable.list
+
+sudo apt update
+sudo apt install -y caddy
+```
+
+### Configure Reverse Proxy
+
+Edit the Caddyfile with your domain:
+
+```bash
+sudo nano /etc/caddy/Caddyfile
+```
+
+Add (replace `gpu.example.com` with your domain):
+
+```
+gpu.example.com {
+    reverse_proxy localhost:8000
+}
+```
+
+Reload Caddy (auto-provisions SSL certificate):
+
+```bash
+sudo systemctl reload caddy
+```
+
+### Verify HTTPS
+
+```bash
+curl -I https://gpu.example.com/docs
+# Should return HTTP/2 200
+```
+
+---
+
+## Configure Main Reflector Server
+
+On your main Reflector server, update `server/.env`:
+
+```env
+# GPU Processing - Self-hosted
+TRANSCRIPT_BACKEND=modal
+TRANSCRIPT_URL=https://gpu.example.com
+TRANSCRIPT_MODAL_API_KEY=<your-generated-api-key>
+
+DIARIZATION_BACKEND=modal
+DIARIZATION_URL=https://gpu.example.com
+DIARIZATION_MODAL_API_KEY=<your-generated-api-key>
+```
+
+**Note:** The backend type is `modal` because the self-hosted GPU service implements the same API contract as Modal.com. This allows you to switch between cloud and self-hosted GPU processing by only changing the URL and API key.
+
+Restart services to apply:
+
+```bash
+docker compose -f docker-compose.prod.yml restart server worker
+```
+
+---
+
+## Service Management
+
+All commands in this section assume you're in `~/reflector/gpu/self_hosted/`.
+
+```bash
+# View logs
+sudo docker compose logs -f
+
+# Restart service
+sudo docker compose restart
+
+# Stop service
+sudo docker compose down
+
+# Check status
+sudo docker compose ps
+```
+
+### Monitor GPU
+
+```bash
+# Check GPU usage
+nvidia-smi
+
+# Watch in real-time
+watch -n 1 nvidia-smi
+```
+
+**Typical GPU memory usage:**
+- Idle (models loaded): ~3GB VRAM
+- During transcription: ~4-5GB VRAM
+
+---
+
+## Troubleshooting
+
+### nvidia-smi fails after driver install
+
+```bash
+# Manually load kernel modules
+sudo modprobe nvidia
+nvidia-smi
+```
+
+### Service fails with "Could not download pyannote pipeline"
+
+1. Verify HF_TOKEN is valid: `echo $HF_TOKEN`
+2. Check model access at https://huggingface.co/pyannote/speaker-diarization-3.1
+3. Update .env with correct token
+4. Restart service: `sudo docker compose restart`
+
+### Cannot connect to HTTPS endpoint
+
+1. Verify DNS resolves: `dig +short gpu.example.com`
+2. Check firewall: `sudo ufw status` (ports 80, 443 must be open)
+3. Check Caddy: `sudo systemctl status caddy`
+4. View Caddy logs: `sudo journalctl -u caddy -n 50`
+
+### SSL certificate not provisioning
+
+Requirements for Let's Encrypt:
+- Ports 80 and 443 publicly accessible
+- DNS resolves to server's public IP
+- Valid domain (not localhost or private IP)
+
+### Docker container won't start
+
+```bash
+# Check logs
+sudo docker compose logs
+
+# Common issues:
+# - Port 8000 already in use
+# - GPU not accessible (nvidia-ctk not configured)
+# - Missing .env file
+```
+
+---
+
+## Updating
+
+```bash
+cd ~/reflector/gpu/self_hosted
+git pull
+sudo docker compose build
+sudo docker compose up -d
+```

docs/docs/intro.md

@@ -0,0 +1,61 @@
+---
+sidebar_position: 1
+title: Introduction
+---
+
+# Welcome to Reflector
+
+Reflector is a privacy-focused, self-hosted AI-powered audio transcription and meeting analysis platform that provides real-time transcription, speaker diarization, and summarization for audio content and live meetings. With complete control over your data and infrastructure, you can run models on your own hardware (roadmap - currently supports Modal.com for GPU processing).
+
+## What is Reflector?
+
+Reflector is a web application that utilizes AI to process audio content, providing:
+
+- **Real-time Transcription**: Convert speech to text using [Whisper](https://github.com/openai/whisper) (multi-language) or [Parakeet](https://github.com/NVIDIA/NeMo) (English) models
+- **Speaker Diarization**: Identify and label different speakers using [Pyannote](https://github.com/pyannote/pyannote-audio) 3.1
+- **Topic Detection & Summarization**: Extract key topics and generate concise summaries using LLMs
+- **Meeting Recording**: Create permanent records of meetings with searchable transcripts
+
+![Reflector Transcript View](/img/reflector-transcript-view.png)
+
+## Features
+
+| Feature                                    | Public Mode | Private Mode |
+|--------------------------------------------|------------|--------------|
+| **Authentication**                         | None required | Required |
+| **Audio Upload**                           | ✅ | ✅ |
+| **Live Microphone Streaming**              | ✅ | ✅ |
+| **Transcription**                          | ✅ | ✅ |
+| **Speaker Diarization**                    | ✅ | ✅ |
+| **Topic Detection**                        | ✅ | ✅ |
+| **Summarization**                          | ✅ | ✅ |
+| **Virtual Meeting Rooms (Whereby, Daily)** | ❌ | ✅ |
+| **Browse Transcripts Page**                | ❌ | ✅ |
+| **Search Functionality**                   | ❌ | ✅ |
+| **Persistent Storage**                     | ❌ | ✅ |
+
+## Architecture Overview
+
+Reflector consists of three main components:
+
+- **Frontend**: React application built with Next.js
+- **Backend**: Python server using FastAPI
+- **Processing**: Scalable GPU workers for ML inference (Modal.com or local)
+
+## Getting Started
+
+Ready to deploy Reflector? Head over to our [Installation Guide](./installation/overview) to set up your own instance.
+
+For a quick overview of how Reflector processes audio, check out our [Pipeline Documentation](./pipelines/overview).
+
+## Open Source
+
+Reflector is open source software developed by [Monadical](https://monadical.com) and licensed under the **MIT License**. We welcome contributions from the community!
+
+- [GitHub Repository](https://github.com/monadical-sas/reflector)
+- [Issue Tracker](https://github.com/monadical-sas/reflector/issues)
+- [Pull Requests](https://github.com/monadical-sas/reflector/pulls)
+
+## Support
+
+Need help? Reach out to the community through GitHub Discussions.

docs/docs/pipelines/file-pipeline.md

@@ -0,0 +1,83 @@
+---
+sidebar_position: 2
+title: File Processing Pipeline
+---
+
+# File Processing Pipeline
+
+The file processing pipeline handles uploaded audio files, optimizing for accuracy and throughput.
+
+## Pipeline Stages
+
+### 1. Input Stage
+
+**Accepted Formats:**
+- MP3 (most common)
+- WAV (uncompressed)
+- M4A (Apple format)
+- WebM (browser recordings)
+- MP4 (video with audio track)
+
+**File Validation:**
+- Sample rate: Any (will be resampled to 16kHz)
+
+### 2. Pre-processing
+
+**Audio Normalization:**
+```yaml
+# Convert to standard format
+- Sample rate: 16kHz (Whisper requirement)
+- Channels: Mono
+- Bit depth: 16-bit
+- Format: WAV
+```
+
+**Noise Reduction (Optional):**
+- Background noise removal
+- Echo cancellation
+- High-pass filter for rumble
+
+### 3. Chunking Strategy
+
+Audio is split into segments for processing:
+- Configurable chunk sizes
+- Optional silence detection for natural breaks
+- Parallel processing of chunks
+
+### 4. Transcription Processing
+
+Transcription uses OpenAI Whisper models via Modal.com or self-hosted GPU:
+- Automatic language detection
+- Word-level timestamps
+
+### 5. Diarization (Speaker Identification)
+
+Speaker diarization uses Pyannote 3.1:
+
+1. **Voice Activity Detection (VAD)** - Identifies speech segments
+2. **Speaker Embedding** - Extracts voice characteristics
+3. **Clustering** - Groups similar voices
+4. **Segmentation** - Assigns speaker labels to time segments
+
+### 6. Alignment & Merging
+
+- Combines transcription with speaker diarization
+- Maps speaker labels to transcript segments
+- Resolves timing overlaps
+- Validates timeline consistency
+
+### 7. Post-processing Chain
+
+- **Text Formatting**: Punctuation, capitalization
+- **Topic Detection**: LLM-based topic extraction
+- **Summarization**: AI-generated summaries and action items
+
+### 8. Storage & Delivery
+
+**File Storage:**
+- Original audio: S3 (optional)
+- Transcript exports: JSON, VTT, TXT
+
+**Notifications:**
+- WebSocket updates during processing
+- Webhook notifications on completion (optional)

docs/docs/reference/api.md

@@ -0,0 +1,28 @@
+---
+title: API Reference
+---
+
+# API Reference
+
+The complete API documentation is auto-generated from the OpenAPI specification.
+
+## Interactive Documentation
+
+When running Reflector, interactive API docs are available at:
+
+- **Swagger UI**: `https://your-api-domain/docs`
+- **ReDoc**: `https://your-api-domain/redoc`
+
+## OpenAPI Specification
+
+The raw OpenAPI 3.0 specification can be downloaded from:
+
+```
+https://your-api-domain/openapi.json
+```
+
+A static copy is also available: [openapi.json](/openapi.json)
+
+## Authentication
+
+See [Authentication Setup](../installation/auth-setup) for configuring API authentication.

docs/docs/roadmap.md

@@ -0,0 +1,112 @@
+---
+sidebar_position: 100
+title: Roadmap
+---
+
+# Product Roadmap
+
+Our development roadmap for Reflector, focusing on expanding capabilities while maintaining privacy and performance.
+
+## Planned Features
+
+### 🌍 Multi-Language Support Enhancement
+
+**Current State:**
+- Whisper supports multi-language transcription
+- Parakeet supports English only with high accuracy
+
+**Planned Improvements:**
+- Default language selection per room/user
+- Automatic language detection improvements
+- Multi-language diarization support
+- RTL (Right-to-Left) language UI support
+- Language-specific post-processing rules
+
+### 🏠 Self-Hosted Room Providers
+
+**Jitsi Integration**
+
+Moving beyond Whereby to support self-hosted video conferencing:
+
+- No API keys required
+- Complete control over video infrastructure
+- Custom branding and configuration
+- Lower operational costs
+- Enhanced privacy with self-hosted video
+
+**Implementation Plan:**
+- WebRTC bridge for Jitsi Meet
+- Room management API integration
+- Recording synchronization
+- Participant tracking
+
+### 📅 Calendar Integration
+
+**Planned Capabilities:**
+- Google Calendar synchronization
+- Microsoft Outlook integration
+- Automatic meeting room creation
+- Pre-meeting document preparation
+- Post-meeting transcript delivery
+- Recurring meeting support
+
+**Features:**
+- Auto-join scheduled meetings
+- Calendar-based access control
+- Meeting agenda import
+- Action item export to calendar
+
+## Future Considerations
+
+### Enhanced Analytics
+- Meeting insights dashboard
+- Speaker participation metrics
+- Topic trends over time
+- Team collaboration patterns
+
+### Advanced AI Features
+- Real-time sentiment analysis
+- Emotion detection
+- Meeting quality scores
+- Automated coaching suggestions
+
+### Integration Ecosystem
+- Slack/Teams notifications
+- CRM integration (Salesforce, HubSpot)
+- Project management tools (Jira, Asana)
+- Knowledge bases (Notion, Confluence)
+
+### Performance Improvements
+- WebAssembly for client-side processing
+- Edge computing support
+- 5G network optimization
+- Blockchain for transcript verification
+
+## Contributing
+
+We welcome community contributions! Areas where you can help:
+
+1. **Language Support**: Add support for your language
+2. **Integrations**: Connect with your favorite tools
+3. **Models**: Fine-tune models for specific domains
+4. **Documentation**: Improve guides and examples
+
+See our [Contributing Guide](https://github.com/monadical-sas/reflector/blob/main/CONTRIBUTING.md) for details.
+
+## Timeline
+
+We don't provide specific dates as development depends on community contributions and priorities. Features are generally released when they're ready and properly tested.
+
+## Feature Requests
+
+Have an idea for Reflector? We'd love to hear it!
+
+- [Open a GitHub Issue](https://github.com/monadical-sas/reflector/issues/new)
+- [Join our Discord](#)
+- [Email us](mailto:reflector@monadical.com)
+
+## Stay Updated
+
+- Watch our [GitHub repository](https://github.com/monadical-sas/reflector)
+- Follow our [blog](#)
+- Subscribe to our [newsletter](#)

docs/docusaurus.config.ts

@@ -0,0 +1,163 @@
+import {themes as prismThemes} from 'prism-react-renderer';
+import type {Config} from '@docusaurus/types';
+import type * as Preset from '@docusaurus/preset-classic';
+import type * as OpenApiPlugin from 'docusaurus-plugin-openapi-docs';
+
+const config: Config = {
+  title: 'Reflector',
+  tagline: 'AI-powered audio transcription and meeting analysis platform',
+  favicon: 'img/favicon.ico',
+
+  url: 'https://monadical-sas.github.io',
+  baseUrl: '/',
+
+  organizationName: 'monadical-sas',
+  projectName: 'reflector',
+
+  onBrokenLinks: 'throw',
+  onBrokenMarkdownLinks: 'warn',
+
+  markdown: {
+    mermaid: true,
+  },
+
+  i18n: {
+    defaultLocale: 'en',
+    locales: ['en'],
+  },
+
+  presets: [
+    [
+      'classic',
+      {
+        docs: {
+          sidebarPath: './sidebars.ts',
+          editUrl: 'https://github.com/monadical-sas/reflector/tree/main/docs/',
+        },
+        blog: false,
+        theme: {
+          customCss: './src/css/custom.css',
+        },
+      } satisfies Preset.Options,
+    ],
+  ],
+
+  plugins: [
+    [
+      'docusaurus-plugin-openapi-docs',
+      {
+        id: 'openapi',
+        docsPluginId: 'classic',
+        config: {
+          reflectorapi: {
+            specPath: 'static/openapi.json', // Use local file fetched by script
+            outputDir: 'docs/reference/api-generated',
+            sidebarOptions: {
+              groupPathsBy: 'tag',
+              categoryLinkSource: 'tag',
+            },
+            downloadUrl: '/openapi.json',
+            hideSendButton: false,
+            showExtensions: true,
+          },
+        } satisfies OpenApiPlugin.Options,
+      },
+    ],
+  ],
+
+  themes: ['docusaurus-theme-openapi-docs', '@docusaurus/theme-mermaid'],
+
+  themeConfig: {
+    image: 'img/reflector-social-card.jpg',
+    colorMode: {
+      defaultMode: 'light',
+      disableSwitch: false,
+      respectPrefersColorScheme: true,
+    },
+    navbar: {
+      title: 'Reflector',
+      logo: {
+        alt: 'Reflector Logo',
+        src: 'img/reflector-logo.svg',
+      },
+      items: [
+        {
+          type: 'docSidebar',
+          sidebarId: 'tutorialSidebar',
+          position: 'left',
+          label: 'Documentation',
+        },
+        {
+          to: '/docs/reference/api',
+          label: 'API',
+          position: 'left',
+        },
+        {
+          href: 'https://github.com/monadical-sas/reflector',
+          label: 'GitHub',
+          position: 'right',
+        },
+      ],
+    },
+    footer: {
+      style: 'dark',
+      links: [
+        {
+          title: 'Documentation',
+          items: [
+            {
+              label: 'Introduction',
+              to: '/docs/intro',
+            },
+            {
+              label: 'Installation',
+              to: '/docs/installation/overview',
+            },
+            {
+              label: 'API Reference',
+              to: '/docs/reference/api',
+            },
+          ],
+        },
+        {
+          title: 'Resources',
+          items: [
+            {
+              label: 'Architecture',
+              to: '/docs/reference/architecture/overview',
+            },
+            {
+              label: 'Pipelines',
+              to: '/docs/pipelines/overview',
+            },
+            {
+              label: 'Roadmap',
+              to: '/docs/roadmap',
+            },
+          ],
+        },
+        {
+          title: 'More',
+          items: [
+            {
+              label: 'GitHub',
+              href: 'https://github.com/monadical-sas/reflector',
+            },
+            {
+              label: 'Docker Hub',
+              href: 'https://hub.docker.com/r/reflector/backend',
+            },
+          ],
+        },
+      ],
+      copyright: `Copyright © ${new Date().getFullYear()} <a href="https://monadical.com" target="_blank" rel="noopener noreferrer">Monadical</a>. Licensed under MIT. Built with Docusaurus.`,
+    },
+    prism: {
+      theme: prismThemes.github,
+      darkTheme: prismThemes.dracula,
+      additionalLanguages: ['python', 'bash', 'docker', 'yaml'],
+    },
+  } satisfies Preset.ThemeConfig,
+};
+
+export default config;

docs/package.json

@@ -0,0 +1,53 @@
+{
+  "name": "docs",
+  "version": "0.0.0",
+  "private": true,
+  "scripts": {
+    "docusaurus": "docusaurus",
+    "start": "docusaurus start",
+    "build": "docusaurus build",
+    "swizzle": "docusaurus swizzle",
+    "deploy": "docusaurus deploy",
+    "clear": "docusaurus clear",
+    "serve": "docusaurus serve",
+    "write-translations": "docusaurus write-translations",
+    "write-heading-ids": "docusaurus write-heading-ids",
+    "typecheck": "tsc",
+    "fetch-openapi": "./scripts/fetch-openapi.sh",
+    "gen-api-docs": "npm run fetch-openapi && docusaurus gen-api-docs reflector",
+    "prebuild": "npm run fetch-openapi"
+  },
+  "dependencies": {
+    "@docusaurus/core": "3.6.3",
+    "@docusaurus/preset-classic": "3.6.3",
+    "@mdx-js/react": "^3.0.0",
+    "clsx": "^2.0.0",
+    "docusaurus-plugin-openapi-docs": "^4.5.1",
+    "docusaurus-theme-openapi-docs": "^4.5.1",
+    "@docusaurus/theme-mermaid": "3.6.3",
+    "prism-react-renderer": "^2.3.0",
+    "react": "^18.0.0",
+    "react-dom": "^18.0.0"
+  },
+  "devDependencies": {
+    "@docusaurus/module-type-aliases": "3.6.3",
+    "@docusaurus/tsconfig": "3.6.3",
+    "@docusaurus/types": "3.6.3",
+    "typescript": "~5.6.2"
+  },
+  "browserslist": {
+    "production": [
+      ">0.5%",
+      "not dead",
+      "not op_mini all"
+    ],
+    "development": [
+      "last 3 chrome version",
+      "last 3 firefox version",
+      "last 5 safari version"
+    ]
+  },
+  "engines": {
+    "node": ">=18.0"
+  }
+}

docs/scripts/fetch-openapi.sh

@@ -0,0 +1,115 @@
+#!/bin/bash
+
+# Script to fetch OpenAPI specification from FastAPI backend
+# Used during documentation build process
+
+set -e
+
+echo "📡 Fetching OpenAPI specification from FastAPI backend..."
+
+# Colors for output
+RED='\033[0;31m'
+GREEN='\033[0;32m'
+YELLOW='\033[1;33m'
+NC='\033[0m' # No Color
+
+# Configuration
+BACKEND_DIR="../server"
+OPENAPI_OUTPUT="./static/openapi.json"
+SERVER_PORT=1250  # Reflector uses port 1250 by default
+MAX_WAIT=30
+
+# Check if backend directory exists
+if [ ! -d "$BACKEND_DIR" ]; then
+    echo -e "${RED}Error: Backend directory not found at $BACKEND_DIR${NC}"
+    exit 1
+fi
+
+# Function to check if server is running
+check_server() {
+    curl -s -o /dev/null -w "%{http_code}" "http://localhost:${SERVER_PORT}/openapi.json" 2>/dev/null
+}
+
+# Function to cleanup on exit
+cleanup() {
+    if [ ! -z "$SERVER_PID" ]; then
+        echo -e "\n${YELLOW}Stopping FastAPI server (PID: $SERVER_PID)...${NC}"
+        kill $SERVER_PID 2>/dev/null || true
+        wait $SERVER_PID 2>/dev/null || true
+    fi
+}
+
+# Set trap to cleanup on exit
+trap cleanup EXIT INT TERM
+
+# Change to backend directory
+cd "$BACKEND_DIR"
+
+# Check if uv is installed
+if ! command -v uv &> /dev/null; then
+    echo -e "${YELLOW}uv not found, checking for python...${NC}"
+    if command -v python3 &> /dev/null; then
+        PYTHON_CMD="python3"
+    elif command -v python &> /dev/null; then
+        PYTHON_CMD="python"
+    else
+        echo -e "${RED}Error: Neither uv nor python found${NC}"
+        exit 1
+    fi
+    RUN_CMD="$PYTHON_CMD -m"
+else
+    RUN_CMD="uv run -m"
+fi
+
+# Start the FastAPI server in the background (let it use default port 1250)
+echo -e "${YELLOW}Starting FastAPI server...${NC}"
+$RUN_CMD reflector.app > /dev/null 2>&1 &
+SERVER_PID=$!
+
+# Wait for server to be ready
+echo -n "Waiting for server to be ready"
+WAITED=0
+while [ $WAITED -lt $MAX_WAIT ]; do
+    if [ "$(check_server)" = "200" ]; then
+        echo -e " ${GREEN}✓${NC}"
+        break
+    fi
+    echo -n "."
+    sleep 1
+    WAITED=$((WAITED + 1))
+done
+
+if [ $WAITED -ge $MAX_WAIT ]; then
+    echo -e " ${RED}✗${NC}"
+    echo -e "${RED}Error: Server failed to start within ${MAX_WAIT} seconds${NC}"
+    exit 1
+fi
+
+# Change back to docs directory
+cd - > /dev/null
+
+# Create static directory if it doesn't exist
+mkdir -p "$(dirname "$OPENAPI_OUTPUT")"
+
+# Fetch the OpenAPI specification
+echo -e "${YELLOW}Fetching OpenAPI specification...${NC}"
+if curl -s "http://localhost:${SERVER_PORT}/openapi.json" -o "$OPENAPI_OUTPUT"; then
+    echo -e "${GREEN}✓ OpenAPI specification saved to $OPENAPI_OUTPUT${NC}"
+
+    # Validate JSON
+    if command -v jq &> /dev/null; then
+        if jq empty "$OPENAPI_OUTPUT" 2>/dev/null; then
+            echo -e "${GREEN}✓ OpenAPI specification is valid JSON${NC}"
+            # Pretty print the JSON
+            jq . "$OPENAPI_OUTPUT" > "${OPENAPI_OUTPUT}.tmp" && mv "${OPENAPI_OUTPUT}.tmp" "$OPENAPI_OUTPUT"
+        else
+            echo -e "${RED}Error: Invalid JSON in OpenAPI specification${NC}"
+            exit 1
+        fi
+    fi
+else
+    echo -e "${RED}Error: Failed to fetch OpenAPI specification${NC}"
+    exit 1
+fi
+
+echo -e "${GREEN}✅ OpenAPI specification successfully fetched!${NC}"

docs/sidebars.ts

@@ -0,0 +1,58 @@
+import type {SidebarsConfig} from '@docusaurus/plugin-content-docs';
+
+const sidebars: SidebarsConfig = {
+  tutorialSidebar: [
+    'intro',
+    {
+      type: 'category',
+      label: 'Concepts',
+      collapsed: false,
+      items: [
+        'concepts/overview',
+        'concepts/modes',
+        'concepts/pipeline',
+      ],
+    },
+    {
+      type: 'category',
+      label: 'Installation',
+      collapsed: false,
+      items: [
+        'installation/overview',
+        'installation/requirements',
+        'installation/docker-setup',
+        'installation/modal-setup',
+        'installation/self-hosted-gpu-setup',
+        'installation/auth-setup',
+        'installation/daily-setup',
+      ],
+    },
+    {
+      type: 'category',
+      label: 'Pipelines',
+      items: [
+        'pipelines/file-pipeline',
+      ],
+    },
+    {
+      type: 'category',
+      label: 'Reference',
+      items: [
+        {
+          type: 'category',
+          label: 'API',
+          items: [
+            {
+              type: 'link',
+              label: 'OpenAPI Reference',
+              href: '/docs/reference/api',
+            },
+          ],
+        },
+      ],
+    },
+    'roadmap',
+  ],
+};
+
+export default sidebars;

docs/src/components/HomepageFeatures/index.tsx

@@ -0,0 +1,70 @@
+import clsx from 'clsx';
+import Heading from '@theme/Heading';
+import styles from './styles.module.css';
+
+type FeatureItem = {
+  title: string;
+  Svg: React.ComponentType<React.ComponentProps<'svg'>>;
+  description: JSX.Element;
+};
+
+const FeatureList: FeatureItem[] = [
+  {
+    title: 'Easy to Use',
+    Svg: require('@site/static/img/undraw_docusaurus_mountain.svg').default,
+    description: (
+      <>
+        Docusaurus was designed from the ground up to be easily installed and
+        used to get your website up and running quickly.
+      </>
+    ),
+  },
+  {
+    title: 'Focus on What Matters',
+    Svg: require('@site/static/img/undraw_docusaurus_tree.svg').default,
+    description: (
+      <>
+        Docusaurus lets you focus on your docs, and we&apos;ll do the chores. Go
+        ahead and move your docs into the <code>docs</code> directory.
+      </>
+    ),
+  },
+  {
+    title: 'Powered by React',
+    Svg: require('@site/static/img/undraw_docusaurus_react.svg').default,
+    description: (
+      <>
+        Extend or customize your website layout by reusing React. Docusaurus can
+        be extended while reusing the same header and footer.
+      </>
+    ),
+  },
+];
+
+function Feature({title, Svg, description}: FeatureItem) {
+  return (
+    <div className={clsx('col col--4')}>
+      <div className="text--center">
+        <Svg className={styles.featureSvg} role="img" />
+      </div>
+      <div className="text--center padding-horiz--md">
+        <Heading as="h3">{title}</Heading>
+        <p>{description}</p>
+      </div>
+    </div>
+  );
+}
+
+export default function HomepageFeatures(): JSX.Element {
+  return (
+    <section className={styles.features}>
+      <div className="container">
+        <div className="row">
+          {FeatureList.map((props, idx) => (
+            <Feature key={idx} {...props} />
+          ))}
+        </div>
+      </div>
+    </section>
+  );
+}

docs/src/components/HomepageFeatures/styles.module.css

@@ -0,0 +1,11 @@
+.features {
+  display: flex;
+  align-items: center;
+  padding: 2rem 0;
+  width: 100%;
+}
+
+.featureSvg {
+  height: 200px;
+  width: 200px;
+}

docs/src/css/custom.css

@@ -0,0 +1,46 @@
+/**
+ * Reflector Documentation Theme
+ * Based on frontend colors from www/app/styles/theme.ts
+ */
+
+@import url('https://fonts.googleapis.com/css2?family=Poppins:wght@300;400;500;600;700&display=swap');
+
+:root {
+  --ifm-color-primary: #3158E2;
+  --ifm-color-primary-dark: #2847C9;
+  --ifm-color-primary-darker: #2442BF;
+  --ifm-color-primary-darkest: #1D369C;
+  --ifm-color-primary-light: #4A6FE5;
+  --ifm-color-primary-lighter: #5F81E8;
+  --ifm-color-primary-lightest: #8DA6F0;
+
+  --ifm-background-color: #FFFFFF;
+  --ifm-background-surface-color: #F4F4F4;
+  --ifm-font-color-base: #1A202C;
+  --ifm-font-color-secondary: #838383;
+
+  --ifm-code-font-size: 95%;
+  --docusaurus-highlighted-code-line-bg: rgba(49, 88, 226, 0.1);
+
+  --ifm-font-family-base: 'Poppins', system-ui, -apple-system, sans-serif;
+  --ifm-font-family-monospace: 'Fira Code', 'Monaco', 'Consolas', monospace;
+  --ifm-navbar-background-color: #FFFFFF;
+  --ifm-heading-font-weight: 600;
+}
+
+[data-theme='dark'] {
+  --ifm-color-primary: #B1CBFF;
+  --ifm-color-primary-dark: #91B3FF;
+  --ifm-color-primary-darker: #81A7FF;
+  --ifm-color-primary-darkest: #5189FF;
+  --ifm-color-primary-light: #D1DFFF;
+  --ifm-color-primary-lighter: #E1EBFF;
+  --ifm-color-primary-lightest: #F0F5FF;
+
+  --ifm-background-color: #0C0D0E;
+  --ifm-background-surface-color: #1A202C;
+  --ifm-font-color-base: #E2E8F0;
+  --ifm-font-color-secondary: #A0AEC0;
+  --docusaurus-highlighted-code-line-bg: rgba(177, 203, 255, 0.1);
+  --ifm-navbar-background-color: #1A202C;
+}

docs/src/pages/index.module.css

@@ -0,0 +1,23 @@
+/**
+ * CSS files with the .module.css suffix will be treated as CSS modules
+ * and scoped locally.
+ */
+
+.heroBanner {
+  padding: 4rem 0;
+  text-align: center;
+  position: relative;
+  overflow: hidden;
+}
+
+@media screen and (max-width: 996px) {
+  .heroBanner {
+    padding: 2rem;
+  }
+}
+
+.buttons {
+  display: flex;
+  align-items: center;
+  justify-content: center;
+}

docs/src/pages/index.tsx

@@ -0,0 +1,7 @@
+import React from 'react';
+import { Redirect } from '@docusaurus/router';
+import useBaseUrl from '@docusaurus/useBaseUrl';
+
+export default function Home(): JSX.Element {
+  return <Redirect to={useBaseUrl('/docs/intro')} />;
+}

docs/src/pages/markdown-page.md

@@ -0,0 +1,7 @@
+---
+title: Markdown page example
+---
+
+# Markdown page example
+
+You don't need React to write simple standalone pages.

docs/static/img/logo.svg

@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 27.9.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 500 500" style="enable-background:new 0 0 500 500;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#B6B6B6;}
+	.st1{fill:#4A4A4A;}
+</style>
+<g>
+	<polygon class="st0" points="227.5,51.5 86.5,150.1 100.8,383.9 244.3,249.8 	"/>
+	<polygon class="st1" points="305.4,421.4 423.9,286 244.3,249.8 100.8,383.9 	"/>
+</g>
+<image style="overflow:visible;" width="1504" height="1128" xlink:href="Ref/original-12843059d855efa50c3a12db8586ced7.jpg"  transform="matrix(1 0 0 1 1857.8739 723.9433)">
+</image>
+<image style="overflow:visible;" width="1504" height="1128" xlink:href="Ref/original-f72ce8039f760337a51b47d045b477b8.jpg"  transform="matrix(1 0 0 1 1857.8739 -512.4843)">
+</image>
+</svg>

docs/static/img/reflector-logo.svg

@@ -0,0 +1,17 @@
+<?xml version="1.0" encoding="utf-8"?>
+<!-- Generator: Adobe Illustrator 27.9.0, SVG Export Plug-In . SVG Version: 6.00 Build 0)  -->
+<svg version="1.1" id="Layer_1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px"
+	 viewBox="0 0 500 500" style="enable-background:new 0 0 500 500;" xml:space="preserve">
+<style type="text/css">
+	.st0{fill:#B6B6B6;}
+	.st1{fill:#4A4A4A;}
+</style>
+<g>
+	<polygon class="st0" points="227.5,51.5 86.5,150.1 100.8,383.9 244.3,249.8 	"/>
+	<polygon class="st1" points="305.4,421.4 423.9,286 244.3,249.8 100.8,383.9 	"/>
+</g>
+<image style="overflow:visible;" width="1504" height="1128" xlink:href="Ref/original-12843059d855efa50c3a12db8586ced7.jpg"  transform="matrix(1 0 0 1 1857.8739 723.9433)">
+</image>
+<image style="overflow:visible;" width="1504" height="1128" xlink:href="Ref/original-f72ce8039f760337a51b47d045b477b8.jpg"  transform="matrix(1 0 0 1 1857.8739 -512.4843)">
+</image>
+</svg>

docs/static/img/undraw_docusaurus_mountain.svg

@@ -0,0 +1,171 @@
+<svg xmlns="http://www.w3.org/2000/svg" width="1088" height="687.962" viewBox="0 0 1088 687.962">
+  <title>Easy to Use</title>
+  <g id="Group_12" data-name="Group 12" transform="translate(-57 -56)">
+    <g id="Group_11" data-name="Group 11" transform="translate(57 56)">
+      <path id="Path_83" data-name="Path 83" d="M1017.81,560.461c-5.27,45.15-16.22,81.4-31.25,110.31-20,38.52-54.21,54.04-84.77,70.28a193.275,193.275,0,0,1-27.46,11.94c-55.61,19.3-117.85,14.18-166.74,3.99a657.282,657.282,0,0,0-104.09-13.16q-14.97-.675-29.97-.67c-15.42.02-293.07,5.29-360.67-131.57-16.69-33.76-28.13-75-32.24-125.27-11.63-142.12,52.29-235.46,134.74-296.47,155.97-115.41,369.76-110.57,523.43,7.88C941.15,276.621,1036.99,396.031,1017.81,560.461Z" transform="translate(-56 -106.019)" fill="#3f3d56"/>
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+      <path id="Path_85" data-name="Path 85" d="M302,282.962l26-57,36,83-31-60Z" opacity="0.1"/>
+      <path id="Path_86" data-name="Path 86" d="M610.5,753.821q-14.97-.675-29.97-.67L465.04,497.191Z" transform="translate(-56 -106.019)" opacity="0.1"/>
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+      <circle id="Ellipse_11" data-name="Ellipse 11" cx="3" cy="3" r="3" transform="translate(479 98.962)" fill="#f2f2f2"/>
+      <circle id="Ellipse_12" data-name="Ellipse 12" cx="3" cy="3" r="3" transform="translate(396 201.962)" fill="#f2f2f2"/>
+      <circle id="Ellipse_13" data-name="Ellipse 13" cx="2" cy="2" r="2" transform="translate(600 220.962)" fill="#f2f2f2"/>
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+      <circle id="Ellipse_16" data-name="Ellipse 16" cx="2" cy="2" r="2" transform="translate(736 192.962)" fill="#f2f2f2"/>
+      <circle id="Ellipse_17" data-name="Ellipse 17" cx="2" cy="2" r="2" transform="translate(858 344.962)" fill="#f2f2f2"/>
+      <path id="Path_89" data-name="Path 89" d="M306,121.222h-2.76v-2.76h-1.48v2.76H299V122.7h2.76v2.759h1.48V122.7H306Z" fill="#f2f2f2"/>
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+      <rect id="Rectangle_98" data-name="Rectangle 98" width="92" height="18" rx="9" transform="translate(489 586.962)" fill="#2f2e41"/>
+      <path id="Path_95" data-name="Path 95" d="M193,596.547c0,55.343,34.719,100.126,77.626,100.126" transform="translate(-56 -106.019)" fill="#3f3d56"/>
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docs/static/img/undraw_docusaurus_tree.svg

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docs/transcript.md

@@ -0,0 +1,241 @@
+# Transcript Formats
+
+The Reflector API provides multiple output formats for transcript data through the `transcript_format` query parameter on the GET `/v1/transcripts/{id}` endpoint.
+
+## Overview
+
+When retrieving a transcript, you can specify the desired format using the `transcript_format` query parameter. The API supports four formats optimized for different use cases:
+
+- **text** - Plain text with speaker names (default)
+- **text-timestamped** - Timestamped text with speaker names
+- **webvtt-named** - WebVTT subtitle format with participant names
+- **json** - Structured JSON segments with full metadata
+
+All formats include participant information when available, resolving speaker IDs to actual names.
+
+## Query Parameter Usage
+
+```
+GET /v1/transcripts/{id}?transcript_format={format}
+```
+
+### Parameters
+
+- `transcript_format` (optional): The desired output format
+  - Type: `"text" | "text-timestamped" | "webvtt-named" | "json"`
+  - Default: `"text"`
+
+## Format Descriptions
+
+### Text Format (`text`)
+
+**Use case:** Simple, human-readable transcript for display or export.
+
+**Format:** Speaker names followed by their dialogue, one line per segment.
+
+**Example:**
+```
+John Smith: Hello everyone
+Jane Doe: Hi there
+John Smith: How are you today?
+```
+
+**Request:**
+```bash
+GET /v1/transcripts/{id}?transcript_format=text
+```
+
+**Response:**
+```json
+{
+  "id": "transcript_123",
+  "name": "Meeting Recording",
+  "transcript_format": "text",
+  "transcript": "John Smith: Hello everyone\nJane Doe: Hi there\nJohn Smith: How are you today?",
+  "participants": [
+    {"id": "p1", "speaker": 0, "name": "John Smith"},
+    {"id": "p2", "speaker": 1, "name": "Jane Doe"}
+  ],
+  ...
+}
+```
+
+### Text Timestamped Format (`text-timestamped`)
+
+**Use case:** Transcript with timing information for navigation or reference.
+
+**Format:** `[MM:SS]` timestamp prefix before each speaker and dialogue.
+
+**Example:**
+```
+[00:00] John Smith: Hello everyone
+[00:05] Jane Doe: Hi there
+[00:12] John Smith: How are you today?
+```
+
+**Request:**
+```bash
+GET /v1/transcripts/{id}?transcript_format=text-timestamped
+```
+
+**Response:**
+```json
+{
+  "id": "transcript_123",
+  "name": "Meeting Recording",
+  "transcript_format": "text-timestamped",
+  "transcript": "[00:00] John Smith: Hello everyone\n[00:05] Jane Doe: Hi there\n[00:12] John Smith: How are you today?",
+  "participants": [
+    {"id": "p1", "speaker": 0, "name": "John Smith"},
+    {"id": "p2", "speaker": 1, "name": "Jane Doe"}
+  ],
+  ...
+}
+```
+
+### WebVTT Named Format (`webvtt-named`)
+
+**Use case:** Subtitle files for video players, accessibility tools, or video editing.
+
+**Format:** Standard WebVTT subtitle format with voice tags using participant names.
+
+**Example:**
+```
+WEBVTT
+
+00:00:00.000 --> 00:00:05.000
+<v John Smith>Hello everyone
+
+00:00:05.000 --> 00:00:12.000
+<v Jane Doe>Hi there
+
+00:00:12.000 --> 00:00:18.000
+<v John Smith>How are you today?
+```
+
+**Request:**
+```bash
+GET /v1/transcripts/{id}?transcript_format=webvtt-named
+```
+
+**Response:**
+```json
+{
+  "id": "transcript_123",
+  "name": "Meeting Recording",
+  "transcript_format": "webvtt-named",
+  "transcript": "WEBVTT\n\n00:00:00.000 --> 00:00:05.000\n<v John Smith>Hello everyone\n\n...",
+  "participants": [
+    {"id": "p1", "speaker": 0, "name": "John Smith"},
+    {"id": "p2", "speaker": 1, "name": "Jane Doe"}
+  ],
+  ...
+}
+```
+
+### JSON Format (`json`)
+
+**Use case:** Programmatic access with full timing and speaker metadata.
+
+**Format:** Array of segment objects with speaker information, text content, and precise timing.
+
+**Example:**
+```json
+[
+  {
+    "speaker": 0,
+    "speaker_name": "John Smith",
+    "text": "Hello everyone",
+    "start": 0.0,
+    "end": 5.0
+  },
+  {
+    "speaker": 1,
+    "speaker_name": "Jane Doe",
+    "text": "Hi there",
+    "start": 5.0,
+    "end": 12.0
+  },
+  {
+    "speaker": 0,
+    "speaker_name": "John Smith",
+    "text": "How are you today?",
+    "start": 12.0,
+    "end": 18.0
+  }
+]
+```
+
+**Request:**
+```bash
+GET /v1/transcripts/{id}?transcript_format=json
+```
+
+**Response:**
+```json
+{
+  "id": "transcript_123",
+  "name": "Meeting Recording",
+  "transcript_format": "json",
+  "transcript": [
+    {
+      "speaker": 0,
+      "speaker_name": "John Smith",
+      "text": "Hello everyone",
+      "start": 0.0,
+      "end": 5.0
+    },
+    {
+      "speaker": 1,
+      "speaker_name": "Jane Doe",
+      "text": "Hi there",
+      "start": 5.0,
+      "end": 12.0
+    }
+  ],
+  "participants": [
+    {"id": "p1", "speaker": 0, "name": "John Smith"},
+    {"id": "p2", "speaker": 1, "name": "Jane Doe"}
+  ],
+  ...
+}
+```
+
+## Response Structure
+
+All formats return the same base transcript metadata with an additional `transcript_format` field and format-specific `transcript` field:
+
+### Common Fields
+
+- `id`: Transcript identifier
+- `user_id`: Owner user ID (if authenticated)
+- `name`: Transcript name
+- `status`: Processing status
+- `locked`: Whether transcript is locked for editing
+- `duration`: Total duration in seconds
+- `title`: Auto-generated or custom title
+- `short_summary`: Brief summary
+- `long_summary`: Detailed summary
+- `created_at`: Creation timestamp
+- `share_mode`: Access control setting
+- `source_language`: Original audio language
+- `target_language`: Translation target language
+- `reviewed`: Whether transcript has been reviewed
+- `meeting_id`: Associated meeting ID (if applicable)
+- `source_kind`: Source type (live, file, room)
+- `room_id`: Associated room ID (if applicable)
+- `audio_deleted`: Whether audio has been deleted
+- `participants`: Array of participant objects with speaker mappings
+
+### Format-Specific Fields
+
+- `transcript_format`: The format identifier (discriminator field)
+- `transcript`: The formatted transcript content (string for text/webvtt formats, array for json format)
+
+## Speaker Name Resolution
+
+All formats resolve speaker IDs to participant names when available:
+
+- If a participant exists for the speaker ID, their name is used
+- If no participant exists, a default name like "Speaker 0" is generated
+- Speaker IDs are integers (0, 1, 2, etc.) assigned during diarization

docs/tsconfig.json

@@ -0,0 +1,8 @@
+{
+  // This file is not used in compilation. It is here just for a nice editor experience.
+  "extends": "@docusaurus/tsconfig",
+  "compilerOptions": {
+    "baseUrl": "."
+  },
+  "exclude": [".docusaurus", "build"]
+}

gpu/modal_deployments/deploy-all.sh

@@ -0,0 +1,161 @@
+#!/bin/bash
+set -e
+
+# --- Usage ---
+usage() {
+    echo "Usage: $0 [OPTIONS]"
+    echo ""
+    echo "Options:"
+    echo "  --hf-token TOKEN    HuggingFace token"
+    echo "  --help              Show this help message"
+    echo ""
+    echo "Examples:"
+    echo "  $0                              # Interactive mode"
+    echo "  $0 --hf-token hf_xxxxx          # Non-interactive mode"
+    echo ""
+    exit 0
+}
+
+# --- Parse Arguments ---
+HF_TOKEN=""
+while [[ $# -gt 0 ]]; do
+    case $1 in
+        --hf-token)
+            HF_TOKEN="$2"
+            shift 2
+            ;;
+        --help)
+            usage
+            ;;
+        *)
+            echo "Unknown option: $1"
+            usage
+            ;;
+    esac
+done
+
+echo "=========================================="
+echo "Reflector GPU Functions Deployment"
+echo "=========================================="
+echo ""
+
+# --- Check Dependencies ---
+if ! command -v modal &> /dev/null; then
+    echo "Error: Modal CLI not installed."
+    echo "  Install with: pip install modal"
+    exit 1
+fi
+
+if ! command -v openssl &> /dev/null; then
+    echo "Error: openssl not found."
+    echo "  Mac: brew install openssl"
+    echo "  Ubuntu: sudo apt-get install openssl"
+    exit 1
+fi
+
+# Check Modal authentication
+if ! modal profile current &> /dev/null; then
+    echo "Error: Not authenticated with Modal."
+    echo "  Run: modal setup"
+    exit 1
+fi
+
+# --- HuggingFace Token Setup ---
+if [ -z "$HF_TOKEN" ]; then
+    echo "HuggingFace token required for Pyannote diarization model."
+    echo "1. Create account at https://huggingface.co"
+    echo "2. Accept license at https://huggingface.co/pyannote/speaker-diarization-3.1"
+    echo "3. Generate token at https://huggingface.co/settings/tokens"
+    echo ""
+    read -p "Enter your HuggingFace token: " HF_TOKEN
+fi
+
+if [ -z "$HF_TOKEN" ]; then
+    echo "Error: HuggingFace token is required for diarization"
+    exit 1
+fi
+
+# Basic token format validation
+if [[ ! "$HF_TOKEN" =~ ^hf_ ]]; then
+    echo "Warning: HuggingFace tokens usually start with 'hf_'"
+    if [ -t 0 ]; then
+        read -p "Continue anyway? (y/n): " confirm
+        if [ "$confirm" != "y" ]; then
+            exit 1
+        fi
+    else
+        echo "Non-interactive mode: proceeding anyway"
+    fi
+fi
+
+# --- Auto-generate reflector<->GPU API Key ---
+echo ""
+echo "Generating API key for GPU services..."
+API_KEY=$(openssl rand -hex 32)
+
+# --- Create Modal Secrets ---
+echo "Creating Modal secrets..."
+
+# Create or update hf_token secret (delete first if exists)
+if modal secret list 2>/dev/null | grep -q "hf_token"; then
+    echo "  -> Recreating secret: hf_token"
+    modal secret delete hf_token --yes 2>/dev/null || true
+fi
+echo "  -> Creating secret: hf_token"
+modal secret create hf_token HF_TOKEN="$HF_TOKEN"
+
+# Create or update reflector-gpu secret (delete first if exists)
+if modal secret list 2>/dev/null | grep -q "reflector-gpu"; then
+    echo "  -> Recreating secret: reflector-gpu"
+    modal secret delete reflector-gpu --yes 2>/dev/null || true
+fi
+echo "  -> Creating secret: reflector-gpu"
+modal secret create reflector-gpu REFLECTOR_GPU_APIKEY="$API_KEY"
+
+# --- Deploy Functions ---
+echo ""
+echo "Deploying transcriber (Whisper)..."
+TRANSCRIBER_URL=$(modal deploy reflector_transcriber.py 2>&1 | grep -o 'https://[^ ]*web.modal.run' | head -1)
+if [ -z "$TRANSCRIBER_URL" ]; then
+    echo "Error: Failed to deploy transcriber. Check Modal dashboard for details."
+    exit 1
+fi
+echo "  -> $TRANSCRIBER_URL"
+
+echo ""
+echo "Deploying diarizer (Pyannote)..."
+DIARIZER_URL=$(modal deploy reflector_diarizer.py 2>&1 | grep -o 'https://[^ ]*web.modal.run' | head -1)
+if [ -z "$DIARIZER_URL" ]; then
+    echo "Error: Failed to deploy diarizer. Check Modal dashboard for details."
+    exit 1
+fi
+echo "  -> $DIARIZER_URL"
+
+echo ""
+echo "Deploying padding (CPU audio processing via Modal SDK)..."
+modal deploy reflector_padding.py
+if [ $? -ne 0 ]; then
+    echo "Error: Failed to deploy padding. Check Modal dashboard for details."
+    exit 1
+fi
+echo "  -> reflector-padding.pad_track (Modal SDK function)"
+
+# --- Output Configuration ---
+echo ""
+echo "=========================================="
+echo "Deployment complete!"
+echo "=========================================="
+echo ""
+echo "Copy these values to your server's server/.env file:"
+echo ""
+echo "# --- Modal GPU Configuration ---"
+echo "TRANSCRIPT_BACKEND=modal"
+echo "TRANSCRIPT_URL=$TRANSCRIBER_URL"
+echo "TRANSCRIPT_MODAL_API_KEY=$API_KEY"
+echo ""
+echo "DIARIZATION_BACKEND=modal"
+echo "DIARIZATION_URL=$DIARIZER_URL"
+echo "DIARIZATION_MODAL_API_KEY=$API_KEY"
+echo ""
+echo "# Padding uses Modal SDK (requires MODAL_TOKEN_ID/SECRET in worker containers)"
+echo "# --- End Modal Configuration ---"

gpu/modal_deployments/reflector_diarizer.py

@@ -24,6 +24,12 @@ app = modal.App(name="reflector-diarizer")
 upload_volume = modal.Volume.from_name("diarizer-uploads", create_if_missing=True)
 
 
+# IMPORTANT: This function is duplicated in multiple files for deployment isolation.
+# If you modify the audio format detection logic, you MUST update all copies:
+#   - gpu/self_hosted/app/utils.py
+#   - gpu/modal_deployments/reflector_transcriber.py (2 copies)
+#   - gpu/modal_deployments/reflector_transcriber_parakeet.py
+#   - gpu/modal_deployments/reflector_diarizer.py (this file)
 def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtension:
     parsed_url = urlparse(url)
     url_path = parsed_url.path
@@ -39,6 +45,8 @@ def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtens
         return AudioFileExtension("wav")
     if "audio/mp4" in content_type:
         return AudioFileExtension("mp4")
+    if "audio/webm" in content_type or "video/webm" in content_type:
+        return AudioFileExtension("webm")
 
     raise ValueError(
         f"Unsupported audio format for URL: {url}. "
@@ -105,7 +113,7 @@ def download_pyannote_audio():
 
 
 diarizer_image = (
-    modal.Image.debian_slim(python_version="3.10.8")
+    modal.Image.debian_slim(python_version="3.10")
     .pip_install(
         "pyannote.audio==3.1.0",
         "requests",
@@ -116,7 +124,7 @@ diarizer_image = (
         "transformers==4.34.0",
         "sentencepiece",
         "protobuf",
-        "numpy",
+        "numpy<2",
         "huggingface_hub",
         "hf-transfer",
     )

gpu/modal_deployments/reflector_padding.py

@@ -0,0 +1,277 @@
+"""
+Reflector GPU backend - audio padding
+======================================
+
+CPU-intensive audio padding service for adding silence to audio tracks.
+Uses PyAV filter graph (adelay) for precise track synchronization.
+
+IMPORTANT: This padding logic is duplicated from server/reflector/utils/audio_padding.py
+for Modal deployment isolation (Modal can't import from server/reflector/). If you modify
+the PyAV filter graph or padding algorithm, you MUST update both:
+  - gpu/modal_deployments/reflector_padding.py (this file)
+  - server/reflector/utils/audio_padding.py
+
+Constants duplicated from server/reflector/utils/audio_constants.py for same reason.
+"""
+
+import os
+import tempfile
+from fractions import Fraction
+import math
+import asyncio
+
+import modal
+
+S3_TIMEOUT = 60 # happens 2 times
+PADDING_TIMEOUT = 600 + (S3_TIMEOUT * 2)
+SCALEDOWN_WINDOW = 60  # The maximum duration (in seconds) that individual containers can remain idle when scaling down.
+DISCONNECT_CHECK_INTERVAL = 2  # Check for client disconnect
+
+
+app = modal.App("reflector-padding")
+
+# CPU-based image
+image = (
+    modal.Image.debian_slim(python_version="3.12")
+    .apt_install("ffmpeg")  # Required by PyAV
+    .pip_install(
+        "av==13.1.0",  # PyAV for audio processing
+        "requests==2.32.3",  # HTTP for presigned URL downloads/uploads
+        "fastapi==0.115.12",  # API framework
+    )
+)
+
+# ref B0F71CE8-FC59-4AA5-8414-DAFB836DB711
+OPUS_STANDARD_SAMPLE_RATE = 48000
+# ref B0F71CE8-FC59-4AA5-8414-DAFB836DB711
+OPUS_DEFAULT_BIT_RATE = 128000
+
+
+@app.function(
+    cpu=2.0,
+    timeout=PADDING_TIMEOUT,
+    scaledown_window=SCALEDOWN_WINDOW,
+    image=image,
+)
+@modal.asgi_app()
+def web():
+    from fastapi import FastAPI, Request, HTTPException
+    from pydantic import BaseModel
+
+    class PaddingRequest(BaseModel):
+        track_url: str
+        output_url: str
+        start_time_seconds: float
+        track_index: int
+
+    class PaddingResponse(BaseModel):
+        size: int
+        cancelled: bool = False
+
+    web_app = FastAPI()
+
+    @web_app.post("/pad")
+    async def pad_track_endpoint(request: Request, req: PaddingRequest) -> PaddingResponse:
+        """Modal web endpoint for padding audio tracks with disconnect detection.
+        """
+        import logging
+
+        logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
+        logger = logging.getLogger(__name__)
+
+        if not req.track_url:
+            raise HTTPException(status_code=400, detail="track_url cannot be empty")
+        if not req.output_url:
+            raise HTTPException(status_code=400, detail="output_url cannot be empty")
+        if req.start_time_seconds <= 0:
+            raise HTTPException(status_code=400, detail=f"start_time_seconds must be positive, got {req.start_time_seconds}")
+        if req.start_time_seconds > 18000:
+            raise HTTPException(status_code=400, detail=f"start_time_seconds exceeds maximum 18000s (5 hours)")
+
+        logger.info(f"Padding request: track {req.track_index}, delay={req.start_time_seconds}s")
+
+        # Thread-safe cancellation flag shared between async disconnect checker and blocking thread
+        import threading
+        cancelled = threading.Event()
+
+        async def check_disconnect():
+            """Background task to check for client disconnect every 2 seconds."""
+            while not cancelled.is_set():
+                await asyncio.sleep(DISCONNECT_CHECK_INTERVAL)
+                if await request.is_disconnected():
+                    logger.warning("Client disconnected, setting cancellation flag")
+                    cancelled.set()
+                    break
+
+        # Start disconnect checker in background
+        disconnect_task = asyncio.create_task(check_disconnect())
+
+        try:
+            result = await asyncio.get_event_loop().run_in_executor(
+                None, _pad_track_blocking, req, cancelled, logger
+            )
+            return PaddingResponse(**result)
+        finally:
+            cancelled.set()
+            disconnect_task.cancel()
+            try:
+                await disconnect_task
+            except asyncio.CancelledError:
+                pass
+
+    def _pad_track_blocking(req, cancelled, logger) -> dict:
+        """Blocking CPU-bound padding work with periodic cancellation checks.
+
+        Args:
+            cancelled: threading.Event for thread-safe cancellation signaling
+        """
+        import av
+        import requests
+        from av.audio.resampler import AudioResampler
+        import time
+
+        temp_dir = tempfile.mkdtemp()
+        input_path = None
+        output_path = None
+        last_check = time.time()
+
+        try:
+            logger.info("Downloading track for padding")
+            response = requests.get(req.track_url, stream=True, timeout=S3_TIMEOUT)
+            response.raise_for_status()
+
+            input_path = os.path.join(temp_dir, "track.webm")
+            total_bytes = 0
+            chunk_count = 0
+            with open(input_path, "wb") as f:
+                for chunk in response.iter_content(chunk_size=8192):
+                    if chunk:
+                        f.write(chunk)
+                        total_bytes += len(chunk)
+                        chunk_count += 1
+
+                        # Check for cancellation every arbitrary amount of chunks
+                        if chunk_count % 12 == 0:
+                            now = time.time()
+                            if now - last_check >= DISCONNECT_CHECK_INTERVAL:
+                                if cancelled.is_set():
+                                    logger.info("Cancelled during download, exiting early")
+                                    return {"size": 0, "cancelled": True}
+                                last_check = now
+            logger.info(f"Track downloaded: {total_bytes} bytes")
+
+            if cancelled.is_set():
+                logger.info("Cancelled after download, exiting early")
+                return {"size": 0, "cancelled": True}
+
+            # Apply padding using PyAV
+            output_path = os.path.join(temp_dir, "padded.webm")
+            delay_ms = math.floor(req.start_time_seconds * 1000)
+            logger.info(f"Padding track {req.track_index} with {delay_ms}ms delay using PyAV")
+
+            in_container = av.open(input_path)
+            in_stream = next((s for s in in_container.streams if s.type == "audio"), None)
+            if in_stream is None:
+                raise ValueError("No audio stream in input")
+
+            with av.open(output_path, "w", format="webm") as out_container:
+                out_stream = out_container.add_stream("libopus", rate=OPUS_STANDARD_SAMPLE_RATE)
+                out_stream.bit_rate = OPUS_DEFAULT_BIT_RATE
+                graph = av.filter.Graph()
+
+                abuf_args = (
+                    f"time_base=1/{OPUS_STANDARD_SAMPLE_RATE}:"
+                    f"sample_rate={OPUS_STANDARD_SAMPLE_RATE}:"
+                    f"sample_fmt=s16:"
+                    f"channel_layout=stereo"
+                )
+                src = graph.add("abuffer", args=abuf_args, name="src")
+                aresample_f = graph.add("aresample", args="async=1", name="ares")
+                delays_arg = f"{delay_ms}|{delay_ms}"
+                adelay_f = graph.add("adelay", args=f"delays={delays_arg}:all=1", name="delay")
+                sink = graph.add("abuffersink", name="sink")
+
+                src.link_to(aresample_f)
+                aresample_f.link_to(adelay_f)
+                adelay_f.link_to(sink)
+                graph.configure()
+
+                resampler = AudioResampler(
+                    format="s16", layout="stereo", rate=OPUS_STANDARD_SAMPLE_RATE
+                )
+
+                for frame in in_container.decode(in_stream):
+                    # Check for cancellation periodically
+                    now = time.time()
+                    if now - last_check >= DISCONNECT_CHECK_INTERVAL:
+                        if cancelled.is_set():
+                            logger.info("Cancelled during processing, exiting early")
+                            in_container.close()
+                            return {"size": 0, "cancelled": True}
+                        last_check = now
+
+                    out_frames = resampler.resample(frame) or []
+                    for rframe in out_frames:
+                        rframe.sample_rate = OPUS_STANDARD_SAMPLE_RATE
+                        rframe.time_base = Fraction(1, OPUS_STANDARD_SAMPLE_RATE)
+                        src.push(rframe)
+
+                        while True:
+                            try:
+                                f_out = sink.pull()
+                            except Exception:
+                                break
+                            f_out.sample_rate = OPUS_STANDARD_SAMPLE_RATE
+                            f_out.time_base = Fraction(1, OPUS_STANDARD_SAMPLE_RATE)
+                            for packet in out_stream.encode(f_out):
+                                out_container.mux(packet)
+
+                # Flush filter graph
+                src.push(None)
+                while True:
+                    try:
+                        f_out = sink.pull()
+                    except Exception:
+                        break
+                    f_out.sample_rate = OPUS_STANDARD_SAMPLE_RATE
+                    f_out.time_base = Fraction(1, OPUS_STANDARD_SAMPLE_RATE)
+                    for packet in out_stream.encode(f_out):
+                        out_container.mux(packet)
+
+                # Flush encoder
+                for packet in out_stream.encode(None):
+                    out_container.mux(packet)
+
+            in_container.close()
+
+            file_size = os.path.getsize(output_path)
+            logger.info(f"Padding complete: {file_size} bytes")
+
+            logger.info("Uploading padded track to S3")
+
+            with open(output_path, "rb") as f:
+                upload_response = requests.put(req.output_url, data=f, timeout=S3_TIMEOUT)
+
+            upload_response.raise_for_status()
+            logger.info(f"Upload complete: {file_size} bytes")
+
+            return {"size": file_size}
+
+        finally:
+            if input_path and os.path.exists(input_path):
+                try:
+                    os.unlink(input_path)
+                except Exception as e:
+                    logger.warning(f"Failed to cleanup input file: {e}")
+            if output_path and os.path.exists(output_path):
+                try:
+                    os.unlink(output_path)
+                except Exception as e:
+                    logger.warning(f"Failed to cleanup output file: {e}")
+            try:
+                os.rmdir(temp_dir)
+            except Exception as e:
+                logger.warning(f"Failed to cleanup temp directory: {e}")
+
+    return web_app
+

gpu/modal_deployments/reflector_transcriber.py

@@ -89,6 +89,7 @@ image = (
         "torch==2.5.1",
         "faster-whisper==1.1.1",
         "fastapi==0.115.12",
+        "python-multipart",
         "requests",
         "librosa==0.10.1",
         "numpy<2",
@@ -98,6 +99,12 @@ image = (
 )
 
 
+# IMPORTANT: This function is duplicated in multiple files for deployment isolation.
+# If you modify the audio format detection logic, you MUST update all copies:
+#   - gpu/self_hosted/app/utils.py
+#   - gpu/modal_deployments/reflector_transcriber.py (this file - 2 copies!)
+#   - gpu/modal_deployments/reflector_transcriber_parakeet.py
+#   - gpu/modal_deployments/reflector_diarizer.py
 def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtension:
     parsed_url = urlparse(url)
     url_path = parsed_url.path
@@ -113,6 +120,8 @@ def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtens
         return AudioFileExtension("wav")
     if "audio/mp4" in content_type:
         return AudioFileExtension("mp4")
+    if "audio/webm" in content_type or "video/webm" in content_type:
+        return AudioFileExtension("webm")
 
     raise ValueError(
         f"Unsupported audio format for URL: {url}. "
@@ -315,6 +324,11 @@ class TranscriberWhisperFile:
         import numpy as np
         from silero_vad import VADIterator
 
+        # IMPORTANT: This VAD segment logic is duplicated in multiple files for deployment isolation.
+        # If you modify this function, you MUST update all copies:
+        #   - gpu/modal_deployments/reflector_transcriber.py (this file)
+        #   - gpu/modal_deployments/reflector_transcriber_parakeet.py
+        #   - gpu/self_hosted/app/services/transcriber.py
         def vad_segments(
             audio_array,
             sample_rate: int = SAMPLERATE,
@@ -322,6 +336,7 @@ class TranscriberWhisperFile:
         ) -> Generator[TimeSegment, None, None]:
             """Generate speech segments as TimeSegment using Silero VAD."""
             iterator = VADIterator(self.vad_model, sampling_rate=sample_rate)
+            audio_duration = len(audio_array) / float(SAMPLERATE)
             start = None
             for i in range(0, len(audio_array), window_size):
                 chunk = audio_array[i : i + window_size]
@@ -341,6 +356,9 @@ class TranscriberWhisperFile:
                         start / float(SAMPLERATE), end / float(SAMPLERATE)
                     )
                     start = None
+            # Handle case where audio ends while speech is still active
+            if start is not None:
+                yield TimeSegment(start / float(SAMPLERATE), audio_duration)
             iterator.reset_states()
 
         upload_volume.reload()
@@ -406,6 +424,12 @@ class TranscriberWhisperFile:
         return {"text": " ".join(all_text), "words": all_words}
 
 
+# IMPORTANT: This function is duplicated in multiple files for deployment isolation.
+# If you modify the audio format detection logic, you MUST update all copies:
+#   - gpu/self_hosted/app/utils.py
+#   - gpu/modal_deployments/reflector_transcriber.py (this file - 2 copies!)
+#   - gpu/modal_deployments/reflector_transcriber_parakeet.py
+#   - gpu/modal_deployments/reflector_diarizer.py
 def detect_audio_format(url: str, headers: dict) -> str:
     from urllib.parse import urlparse
 
@@ -423,6 +447,8 @@ def detect_audio_format(url: str, headers: dict) -> str:
         return "wav"
     if "audio/mp4" in content_type:
         return "mp4"
+    if "audio/webm" in content_type or "video/webm" in content_type:
+        return "webm"
 
     raise HTTPException(
         status_code=400,

gpu/modal_deployments/reflector_transcriber_parakeet.py

@@ -81,15 +81,21 @@ image = (
         "cuda-python==12.8.0",
         "fastapi==0.115.12",
         "numpy<2",
-        "librosa==0.10.1",
+        "librosa==0.11.0",
         "requests",
-        "silero-vad==5.1.0",
+        "silero-vad==6.2.0",
         "torch",
     )
     .entrypoint([])  # silence chatty logs by container on start
 )
 
 
+# IMPORTANT: This function is duplicated in multiple files for deployment isolation.
+# If you modify the audio format detection logic, you MUST update all copies:
+#   - gpu/self_hosted/app/utils.py
+#   - gpu/modal_deployments/reflector_transcriber.py (2 copies)
+#   - gpu/modal_deployments/reflector_transcriber_parakeet.py (this file)
+#   - gpu/modal_deployments/reflector_diarizer.py
 def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtension:
     parsed_url = urlparse(url)
     url_path = parsed_url.path
@@ -105,6 +111,8 @@ def detect_audio_format(url: str, headers: Mapping[str, str]) -> AudioFileExtens
         return AudioFileExtension("wav")
     if "audio/mp4" in content_type:
         return AudioFileExtension("mp4")
+    if "audio/webm" in content_type or "video/webm" in content_type:
+        return AudioFileExtension("webm")
 
     raise ValueError(
         f"Unsupported audio format for URL: {url}. "
@@ -301,11 +309,17 @@ class TranscriberParakeetFile:
             audio_array, sample_rate = librosa.load(file_path, sr=SAMPLERATE, mono=True)
             return audio_array
 
+        # IMPORTANT: This VAD segment logic is duplicated in multiple files for deployment isolation.
+        # If you modify this function, you MUST update all copies:
+        #   - gpu/modal_deployments/reflector_transcriber.py
+        #   - gpu/modal_deployments/reflector_transcriber_parakeet.py (this file)
+        #   - gpu/self_hosted/app/services/transcriber.py
         def vad_segment_generator(
             audio_array,
         ) -> Generator[TimeSegment, None, None]:
             """Generate speech segments using VAD with start/end sample indices"""
             vad_iterator = VADIterator(self.vad_model, sampling_rate=SAMPLERATE)
+            audio_duration = len(audio_array) / float(SAMPLERATE)
             window_size = VAD_CONFIG["window_size"]
             start = None
 
@@ -332,6 +346,10 @@ class TranscriberParakeetFile:
                     yield TimeSegment(start_time, end_time)
                     start = None
 
+            if start is not None:
+                start_time = start / float(SAMPLERATE)
+                yield TimeSegment(start_time, audio_duration)
+
             vad_iterator.reset_states()
 
         def batch_speech_segments(

gpu/modal_deployments/reflector_translator.py

@@ -103,7 +103,7 @@ def configure_seamless_m4t():
 
 
 transcriber_image = (
-    Image.debian_slim(python_version="3.10.8")
+    Image.debian_slim(python_version="3.10")
     .apt_install("git")
     .apt_install("wget")
     .apt_install("libsndfile-dev")
@@ -119,6 +119,7 @@ transcriber_image = (
         "fairseq2",
         "pyyaml",
         "hf-transfer~=0.1",
+        "pydantic",
     )
     .run_function(install_seamless_communication)
     .run_function(download_seamlessm4t_model)

gpu/self_hosted/DEV_SETUP.md

@@ -0,0 +1,137 @@
+# Local Development GPU Setup
+
+Run transcription and diarization locally for development/testing.
+
+> **For production deployment**, see the [Self-Hosted GPU Setup Guide](../../docs/docs/installation/self-hosted-gpu-setup.md).
+
+## Prerequisites
+
+1. **Python 3.12+** and **uv** package manager
+2. **FFmpeg** installed and on PATH
+3. **HuggingFace account** with access to pyannote models
+
+### Accept Pyannote Licenses (Required)
+
+Before first run, accept licenses for these gated models (logged into HuggingFace):
+- https://hf.co/pyannote/speaker-diarization-3.1
+- https://hf.co/pyannote/segmentation-3.0
+
+## Quick Start
+
+### 1. Install dependencies
+
+```bash
+cd gpu/self_hosted
+uv sync
+```
+
+### 2. Start the GPU service
+
+```bash
+cd gpu/self_hosted
+HF_TOKEN=<your-huggingface-token> \
+REFLECTOR_GPU_APIKEY=dev-key-12345 \
+.venv/bin/uvicorn main:app --host 0.0.0.0 --port 8000
+```
+
+Note: The `.env` file is NOT auto-loaded. Pass env vars explicitly or use:
+```bash
+export HF_TOKEN=<your-token>
+export REFLECTOR_GPU_APIKEY=dev-key-12345
+.venv/bin/uvicorn main:app --host 0.0.0.0 --port 8000
+```
+
+### 3. Configure Reflector to use local GPU
+
+Edit `server/.env`:
+
+```bash
+# Transcription - local GPU service
+TRANSCRIPT_BACKEND=modal
+TRANSCRIPT_URL=http://host.docker.internal:8000
+TRANSCRIPT_MODAL_API_KEY=dev-key-12345
+
+# Diarization - local GPU service
+DIARIZATION_BACKEND=modal
+DIARIZATION_URL=http://host.docker.internal:8000
+DIARIZATION_MODAL_API_KEY=dev-key-12345
+```
+
+Note: Use `host.docker.internal` because Reflector server runs in Docker.
+
+### 4. Restart Reflector server
+
+```bash
+cd server
+docker compose restart server worker
+```
+
+## Testing
+
+### Test transcription
+
+```bash
+curl -s -X POST http://localhost:8000/v1/audio/transcriptions \
+  -H "Authorization: Bearer dev-key-12345" \
+  -F "file=@/path/to/audio.wav" \
+  -F "language=en"
+```
+
+### Test diarization
+
+```bash
+curl -s -X POST "http://localhost:8000/diarize?audio_file_url=<audio-url>" \
+  -H "Authorization: Bearer dev-key-12345"
+```
+
+## Platform Notes
+
+### macOS (ARM)
+
+Docker build fails - CUDA packages are x86_64 only. Use local Python instead:
+```bash
+uv sync
+HF_TOKEN=xxx REFLECTOR_GPU_APIKEY=xxx .venv/bin/uvicorn main:app --host 0.0.0.0 --port 8000
+```
+
+### Linux with NVIDIA GPU
+
+Docker works with CUDA acceleration:
+```bash
+docker compose up -d
+```
+
+### CPU-only
+
+Works on any platform, just slower. PyTorch auto-detects and falls back to CPU.
+
+## Switching Back to Modal.com
+
+Edit `server/.env`:
+
+```bash
+TRANSCRIPT_BACKEND=modal
+TRANSCRIPT_URL=https://monadical-sas--reflector-transcriber-parakeet-web.modal.run
+TRANSCRIPT_MODAL_API_KEY=<modal-api-key>
+
+DIARIZATION_BACKEND=modal
+DIARIZATION_URL=https://monadical-sas--reflector-diarizer-web.modal.run
+DIARIZATION_MODAL_API_KEY=<modal-api-key>
+```
+
+## Troubleshooting
+
+### "Could not download pyannote pipeline"
+- Accept model licenses at HuggingFace (see Prerequisites)
+- Verify HF_TOKEN is set and valid
+
+### Service won't start
+- Check port 8000 is free: `lsof -i :8000`
+- Kill orphan processes if needed
+
+### Transcription returns empty text
+- Ensure audio contains speech (not just tones/silence)
+- Check audio format is supported (wav, mp3, etc.)
+
+### Deprecation warnings from torchaudio/pyannote
+- Safe to ignore - doesn't affect functionality

gpu/self_hosted/README.md

@@ -56,9 +56,13 @@ Docker
 
 - Not yet provided in this directory. A Dockerfile will be added later. For now, use Local run above
 
-Conformance tests
+# Setup
 
-# From this directory
+[SETUP.md](SETUP.md)
+
+# Conformance tests
+
+## From this directory
 
 TRANSCRIPT_URL=http://localhost:8000 \
 TRANSCRIPT_API_KEY=dev-key \

gpu/self_hosted/app/services/transcriber.py

@@ -129,6 +129,11 @@ class WhisperService:
             audio = np.frombuffer(proc.stdout, dtype=np.float32)
             return audio
 
+        # IMPORTANT: This VAD segment logic is duplicated in multiple files for deployment isolation.
+        # If you modify this function, you MUST update all copies:
+        #   - gpu/modal_deployments/reflector_transcriber.py
+        #   - gpu/modal_deployments/reflector_transcriber_parakeet.py
+        #   - gpu/self_hosted/app/services/transcriber.py (this file)
         def vad_segments(
             audio_array,
             sample_rate: int = SAMPLE_RATE,
@@ -153,6 +158,10 @@ class WhisperService:
                     end = speech["end"]
                     yield (start / float(SAMPLE_RATE), end / float(SAMPLE_RATE))
                     start = None
+            # Handle case where audio ends while speech is still active
+            if start is not None:
+                audio_duration = len(audio_array) / float(sample_rate)
+                yield (start / float(SAMPLE_RATE), audio_duration)
             iterator.reset_states()
 
         audio_array = load_audio_via_ffmpeg(file_path, SAMPLE_RATE)

gpu/self_hosted/app/utils.py

@@ -34,6 +34,12 @@ def ensure_dirs():
     UPLOADS_PATH.mkdir(parents=True, exist_ok=True)
 
 
+# IMPORTANT: This function is duplicated in multiple files for deployment isolation.
+# If you modify the audio format detection logic, you MUST update all copies:
+#   - gpu/self_hosted/app/utils.py (this file)
+#   - gpu/modal_deployments/reflector_transcriber.py (2 copies)
+#   - gpu/modal_deployments/reflector_transcriber_parakeet.py
+#   - gpu/modal_deployments/reflector_diarizer.py
 def detect_audio_format(url: str, headers: Mapping[str, str]) -> str:
     url_path = urlparse(url).path
     for ext in SUPPORTED_FILE_EXTENSIONS:
@@ -47,6 +53,8 @@ def detect_audio_format(url: str, headers: Mapping[str, str]) -> str:
         return "wav"
     if "audio/mp4" in content_type:
         return "mp4"
+    if "audio/webm" in content_type or "video/webm" in content_type:
+        return "webm"
 
     raise HTTPException(
         status_code=400,

gpu/self_hosted/compose.yml

@@ -8,3 +8,11 @@ services:
       - .env
     volumes:
       - ./cache:/root/.cache
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: all
+              capabilities: [gpu]
+    restart: unless-stopped

gpu/self_hosted/uv.lock

@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.12"
 
 [[package]]
@@ -13,7 +13,7 @@ wheels = [
 
 [[package]]
 name = "aiohttp"
-version = "3.12.15"
+version = "3.13.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "aiohappyeyeballs" },
@@ -24,42 +24,76 @@ dependencies = [
     { name = "propcache" },
     { name = "yarl" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/9b/e7/d92a237d8802ca88483906c388f7c201bbe96cd80a165ffd0ac2f6a8d59f/aiohttp-3.12.15.tar.gz", hash = "sha256:4fc61385e9c98d72fcdf47e6dd81833f47b2f77c114c29cd64a361be57a763a2", size = 7823716, upload-time = "2025-07-29T05:52:32.215Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/50/42/32cf8e7704ceb4481406eb87161349abb46a57fee3f008ba9cb610968646/aiohttp-3.13.3.tar.gz", hash = "sha256:a949eee43d3782f2daae4f4a2819b2cb9b0c5d3b7f7a927067cc84dafdbb9f88", size = 7844556, upload-time = "2026-01-03T17:33:05.204Z" }
 wheels = [
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scripts/setup-authentik-oauth.sh

@@ -0,0 +1,258 @@
+#!/bin/bash
+set -e
+
+# Setup Authentik OAuth provider for Reflector
+#
+# IMPORTANT: Run this script from your Reflector repository directory (cd ~/reflector)
+# The script creates files using relative paths: server/reflector/auth/jwt/keys/
+#
+# Usage: ./setup-authentik-oauth.sh <authentik-url> <admin-password> <frontend-url>
+# Example: ./setup-authentik-oauth.sh https://authentik.example.com MyPassword123 https://app.example.com
+
+AUTHENTIK_URL="${1:-}"
+ADMIN_PASSWORD="${2:-}"
+FRONTEND_URL="${3:-}"
+
+if [ -z "$AUTHENTIK_URL" ] || [ -z "$ADMIN_PASSWORD" ] || [ -z "$FRONTEND_URL" ]; then
+    echo "Usage: $0 <authentik-url> <admin-password> <frontend-url>"
+    echo "Example: $0 https://authentik.example.com MyPassword123 https://app.example.com"
+    exit 1
+fi
+
+# Remove trailing slash from URLs
+AUTHENTIK_URL="${AUTHENTIK_URL%/}"
+FRONTEND_URL="${FRONTEND_URL%/}"
+
+echo "==========================================="
+echo "Authentik OAuth Setup for Reflector"
+echo "==========================================="
+echo ""
+echo "Authentik URL: $AUTHENTIK_URL"
+echo "Frontend URL: $FRONTEND_URL"
+echo ""
+
+# Step 1: Create API token via Django shell
+echo "Creating API token..."
+cd ~/authentik || { echo "Error: ~/authentik directory not found"; exit 1; }
+
+API_TOKEN=$(sudo docker compose exec -T server python -m manage shell 2>&1 << 'PYTHON' | grep "^TOKEN:" | cut -d: -f2
+from authentik.core.models import User, Token, TokenIntents
+
+user = User.objects.get(username='akadmin')
+token, created = Token.objects.update_or_create(
+    identifier='reflector-setup',
+    defaults={
+        'user': user,
+        'intent': TokenIntents.INTENT_API,
+        'description': 'Reflector setup token',
+        'expiring': False
+    }
+)
+print(f"TOKEN:{token.key}")
+PYTHON
+)
+
+cd - > /dev/null
+
+if [ -z "$API_TOKEN" ] || [ "$API_TOKEN" = "null" ]; then
+    echo "Error: Failed to create API token"
+    echo "Make sure Authentik is fully started and akadmin user exists"
+    exit 1
+fi
+echo "  -> Got API token"
+
+# Step 2: Get authorization flow UUID
+echo "Getting authorization flow..."
+FLOW_RESPONSE=$(curl -s "$AUTHENTIK_URL/api/v3/flows/instances/?slug=default-provider-authorization-implicit-consent" \
+    -H "Authorization: Bearer $API_TOKEN")
+
+FLOW_UUID=$(echo "$FLOW_RESPONSE" | jq -r '.results[0].pk')
+if [ -z "$FLOW_UUID" ] || [ "$FLOW_UUID" = "null" ]; then
+    echo "Error: Could not find authorization flow"
+    echo "Response: $FLOW_RESPONSE"
+    exit 1
+fi
+echo "  -> Flow UUID: $FLOW_UUID"
+
+# Step 3: Get invalidation flow UUID
+echo "Getting invalidation flow..."
+INVALIDATION_RESPONSE=$(curl -s "$AUTHENTIK_URL/api/v3/flows/instances/?slug=default-provider-invalidation-flow" \
+    -H "Authorization: Bearer $API_TOKEN")
+
+INVALIDATION_UUID=$(echo "$INVALIDATION_RESPONSE" | jq -r '.results[0].pk')
+if [ -z "$INVALIDATION_UUID" ] || [ "$INVALIDATION_UUID" = "null" ]; then
+    echo "Warning: Could not find invalidation flow, using authorization flow"
+    INVALIDATION_UUID="$FLOW_UUID"
+fi
+echo "  -> Invalidation UUID: $INVALIDATION_UUID"
+
+# Step 4: Get scope mappings (email, openid, profile)
+echo "Getting scope mappings..."
+SCOPE_RESPONSE=$(curl -s "$AUTHENTIK_URL/api/v3/propertymappings/all/" \
+    -H "Authorization: Bearer $API_TOKEN")
+
+EMAIL_SCOPE=$(echo "$SCOPE_RESPONSE" | jq -r '.results[] | select(.name == "authentik default OAuth Mapping: OpenID '\''email'\''") | .pk')
+OPENID_SCOPE=$(echo "$SCOPE_RESPONSE" | jq -r '.results[] | select(.name == "authentik default OAuth Mapping: OpenID '\''openid'\''") | .pk')
+PROFILE_SCOPE=$(echo "$SCOPE_RESPONSE" | jq -r '.results[] | select(.name == "authentik default OAuth Mapping: OpenID '\''profile'\''") | .pk')
+echo "  -> email: $EMAIL_SCOPE"
+echo "  -> openid: $OPENID_SCOPE"
+echo "  -> profile: $PROFILE_SCOPE"
+
+# Step 5: Get signing key
+echo "Getting signing key..."
+CERT_RESPONSE=$(curl -s "$AUTHENTIK_URL/api/v3/crypto/certificatekeypairs/" \
+    -H "Authorization: Bearer $API_TOKEN")
+SIGNING_KEY=$(echo "$CERT_RESPONSE" | jq -r '.results[0].pk')
+echo "  -> Signing key: $SIGNING_KEY"
+
+# Step 6: Generate client credentials
+CLIENT_ID="reflector"
+CLIENT_SECRET=$(openssl rand -hex 32)
+
+# Step 7: Create OAuth2 provider
+echo "Creating OAuth2 provider..."
+PROVIDER_RESPONSE=$(curl -s -X POST "$AUTHENTIK_URL/api/v3/providers/oauth2/" \
+    -H "Authorization: Bearer $API_TOKEN" \
+    -H "Content-Type: application/json" \
+    -d "{
+        \"name\": \"Reflector\",
+        \"authorization_flow\": \"$FLOW_UUID\",
+        \"invalidation_flow\": \"$INVALIDATION_UUID\",
+        \"client_type\": \"confidential\",
+        \"client_id\": \"$CLIENT_ID\",
+        \"client_secret\": \"$CLIENT_SECRET\",
+        \"redirect_uris\": [{
+            \"matching_mode\": \"strict\",
+            \"url\": \"$FRONTEND_URL/api/auth/callback/authentik\"
+        }],
+        \"property_mappings\": [\"$EMAIL_SCOPE\", \"$OPENID_SCOPE\", \"$PROFILE_SCOPE\"],
+        \"signing_key\": \"$SIGNING_KEY\",
+        \"access_token_validity\": \"hours=1\",
+        \"refresh_token_validity\": \"days=30\"
+    }")
+
+PROVIDER_ID=$(echo "$PROVIDER_RESPONSE" | jq -r '.pk')
+if [ -z "$PROVIDER_ID" ] || [ "$PROVIDER_ID" = "null" ]; then
+    # Check if provider already exists
+    if echo "$PROVIDER_RESPONSE" | grep -q "already exists"; then
+        echo "  -> Provider already exists, updating..."
+        EXISTING=$(curl -s "$AUTHENTIK_URL/api/v3/providers/oauth2/?name=Reflector" \
+            -H "Authorization: Bearer $API_TOKEN")
+        PROVIDER_ID=$(echo "$EXISTING" | jq -r '.results[0].pk')
+        CLIENT_ID=$(echo "$EXISTING" | jq -r '.results[0].client_id')
+        # Update secret and scopes
+        curl -s -X PATCH "$AUTHENTIK_URL/api/v3/providers/oauth2/$PROVIDER_ID/" \
+            -H "Authorization: Bearer $API_TOKEN" \
+            -H "Content-Type: application/json" \
+            -d "{
+                \"client_secret\": \"$CLIENT_SECRET\",
+                \"property_mappings\": [\"$EMAIL_SCOPE\", \"$OPENID_SCOPE\", \"$PROFILE_SCOPE\"],
+                \"signing_key\": \"$SIGNING_KEY\"
+            }" > /dev/null
+    else
+        echo "Error: Failed to create provider"
+        echo "Response: $PROVIDER_RESPONSE"
+        exit 1
+    fi
+fi
+echo "  -> Provider ID: $PROVIDER_ID"
+
+# Step 8: Create application
+echo "Creating application..."
+APP_RESPONSE=$(curl -s -X POST "$AUTHENTIK_URL/api/v3/core/applications/" \
+    -H "Authorization: Bearer $API_TOKEN" \
+    -H "Content-Type: application/json" \
+    -d "{
+        \"name\": \"Reflector\",
+        \"slug\": \"reflector\",
+        \"provider\": $PROVIDER_ID
+    }")
+
+if echo "$APP_RESPONSE" | grep -q "already exists"; then
+    echo "  -> Application already exists"
+else
+    APP_SLUG=$(echo "$APP_RESPONSE" | jq -r '.slug')
+    if [ -z "$APP_SLUG" ] || [ "$APP_SLUG" = "null" ]; then
+        echo "Error: Failed to create application"
+        echo "Response: $APP_RESPONSE"
+        exit 1
+    fi
+    echo "  -> Application created: $APP_SLUG"
+fi
+
+# Step 9: Extract public key for JWT verification
+echo "Extracting public key for JWT verification..."
+mkdir -p server/reflector/auth/jwt/keys
+curl -s "$AUTHENTIK_URL/application/o/reflector/jwks/" | \
+    jq -r '.keys[0].x5c[0]' | \
+    base64 -d | \
+    openssl x509 -pubkey -noout > server/reflector/auth/jwt/keys/authentik_public.pem
+
+if [ ! -s server/reflector/auth/jwt/keys/authentik_public.pem ]; then
+    echo "Error: Failed to extract public key"
+    exit 1
+fi
+echo "  -> Saved to server/reflector/auth/jwt/keys/authentik_public.pem"
+
+# Step 10: Update environment files automatically
+echo "Updating environment files..."
+
+# Update server/.env
+cat >> server/.env << EOF
+
+# --- Authentik OAuth (added by setup script) ---
+AUTH_BACKEND=jwt
+AUTH_JWT_AUDIENCE=$CLIENT_ID
+AUTH_JWT_PUBLIC_KEY=authentik_public.pem
+# --- End JWT Configuration ---
+EOF
+echo "  -> Updated server/.env"
+
+# Update www/.env
+cat >> www/.env << EOF
+
+# --- Authentik OAuth (added by setup script) ---
+FEATURE_REQUIRE_LOGIN=true
+AUTHENTIK_ISSUER=$AUTHENTIK_URL/application/o/reflector
+AUTHENTIK_REFRESH_TOKEN_URL=$AUTHENTIK_URL/application/o/token/
+AUTHENTIK_CLIENT_ID=$CLIENT_ID
+AUTHENTIK_CLIENT_SECRET=$CLIENT_SECRET
+# --- End Authentik Configuration ---
+EOF
+echo "  -> Updated www/.env"
+
+# Step 11: Restart Reflector services
+echo "Restarting Reflector services..."
+docker compose -f docker-compose.prod.yml up -d server worker web
+
+echo ""
+echo "==========================================="
+echo "Setup complete!"
+echo "==========================================="
+echo ""
+echo "Authentik admin: $AUTHENTIK_URL"
+echo "  Username: akadmin"
+echo "  Password: (provided as argument)"
+echo ""
+echo "Frontend: $FRONTEND_URL"
+echo "  Authentication is now required"
+echo ""
+echo "Note: Public key saved to server/reflector/auth/jwt/keys/authentik_public.pem"
+echo "      and mounted via docker-compose volume."
+echo ""
+echo "==========================================="
+echo "Configuration values (for reference):"
+echo "==========================================="
+echo ""
+echo "# server/.env"
+echo "AUTH_BACKEND=jwt"
+echo "AUTH_JWT_AUDIENCE=$CLIENT_ID"
+echo "AUTH_JWT_PUBLIC_KEY=authentik_public.pem"
+echo ""
+echo "# www/.env"
+echo "FEATURE_REQUIRE_LOGIN=true"
+echo "AUTHENTIK_ISSUER=$AUTHENTIK_URL/application/o/reflector"
+echo "AUTHENTIK_REFRESH_TOKEN_URL=$AUTHENTIK_URL/application/o/token/"
+echo "AUTHENTIK_CLIENT_ID=$CLIENT_ID"
+echo "AUTHENTIK_CLIENT_SECRET=$CLIENT_SECRET"
+echo ""

server/.env.example

@@ -0,0 +1,139 @@
+#
+# This file serve as an example of possible configuration
+# All the settings are described here: reflector/settings.py
+#
+
+## =======================================================
+## Core Configuration (Required for Production)
+## =======================================================
+
+## Database (for docker-compose.prod.yml, use postgres hostname)
+#DATABASE_URL=postgresql+asyncpg://reflector:reflector@postgres:5432/reflector
+
+## Redis (for docker-compose.prod.yml, use redis hostname)
+#REDIS_HOST=redis
+#REDIS_PORT=6379
+#CELERY_BROKER_URL=redis://redis:6379/1
+#CELERY_RESULT_BACKEND=redis://redis:6379/1
+
+## Base URL - your API domain with https
+#BASE_URL=https://api.example.com
+
+## CORS - required when frontend and API are on different domains
+#CORS_ORIGIN=https://app.example.com
+#CORS_ALLOW_CREDENTIALS=true
+
+## Secret key - generate with: openssl rand -hex 32
+#SECRET_KEY=changeme-generate-a-secure-random-string
+
+## =======================================================
+## User authentication
+## =======================================================
+
+## Using jwt/authentik
+AUTH_BACKEND=jwt
+AUTH_JWT_AUDIENCE=
+
+## =======================================================
+## Transcription backend
+##
+## Check reflector/processors/audio_transcript_* for the
+## full list of available transcription backend
+## =======================================================
+
+## Using local whisper
+#TRANSCRIPT_BACKEND=whisper
+
+## Using serverless modal.com (require reflector-gpu-modal deployed)
+#TRANSCRIPT_BACKEND=modal
+#TRANSCRIPT_URL=https://xxxxx--reflector-transcriber-web.modal.run
+#TRANSCRIPT_MODAL_API_KEY=xxxxx
+
+TRANSCRIPT_BACKEND=modal
+TRANSCRIPT_URL=https://monadical-sas--reflector-transcriber-parakeet-web.modal.run
+TRANSCRIPT_MODAL_API_KEY=
+
+## =======================================================
+## Translation backend
+##
+## Only available in modal atm
+## =======================================================
+TRANSLATION_BACKEND=modal
+TRANSLATE_URL=https://monadical-sas--reflector-translator-web.modal.run
+#TRANSLATION_MODAL_API_KEY=xxxxx
+
+## =======================================================
+## LLM backend (Required)
+##
+## Responsible for generating titles, summaries, and topic detection
+## Requires OpenAI API key
+## =======================================================
+
+## OpenAI API key - get from https://platform.openai.com/account/api-keys
+LLM_API_KEY=sk-your-openai-api-key
+LLM_MODEL=gpt-4o-mini
+
+## Optional: Custom endpoint (defaults to OpenAI)
+# LLM_URL=https://api.openai.com/v1
+
+## Context size for summary generation (tokens)
+LLM_CONTEXT_WINDOW=16000
+
+## =======================================================
+## Diarization
+##
+## Only available on modal
+## To allow diarization, you need to expose expose the files to be dowloded by the pipeline
+## =======================================================
+DIARIZATION_ENABLED=false
+DIARIZATION_BACKEND=modal
+DIARIZATION_URL=https://monadical-sas--reflector-diarizer-web.modal.run
+#DIARIZATION_MODAL_API_KEY=xxxxx
+
+
+## =======================================================
+## Transcript Storage
+##
+## Where to store audio files and transcripts
+## AWS S3 is required for production
+## =======================================================
+TRANSCRIPT_STORAGE_BACKEND=aws
+TRANSCRIPT_STORAGE_AWS_ACCESS_KEY_ID=your-aws-access-key
+TRANSCRIPT_STORAGE_AWS_SECRET_ACCESS_KEY=your-aws-secret-key
+TRANSCRIPT_STORAGE_AWS_BUCKET_NAME=reflector-media
+TRANSCRIPT_STORAGE_AWS_REGION=us-east-1
+
+
+## =======================================================
+## Sentry
+## =======================================================
+
+## Sentry DSN configuration
+#SENTRY_DSN=
+
+## =======================================================
+## Video Platform Configuration
+## =======================================================
+
+## Whereby
+#WHEREBY_API_KEY=your-whereby-api-key
+#WHEREBY_WEBHOOK_SECRET=your-whereby-webhook-secret
+#WHEREBY_STORAGE_AWS_ACCESS_KEY_ID=your-aws-key
+#WHEREBY_STORAGE_AWS_SECRET_ACCESS_KEY=your-aws-secret
+#AWS_PROCESS_RECORDING_QUEUE_URL=https://sqs.us-west-2.amazonaws.com/...
+
+## Daily.co
+#DAILY_API_KEY=your-daily-api-key
+#DAILY_WEBHOOK_SECRET=your-daily-webhook-secret
+#DAILY_SUBDOMAIN=your-subdomain
+#DAILY_WEBHOOK_UUID=  # Auto-populated by recreate_daily_webhook.py script
+#DAILYCO_STORAGE_AWS_ROLE_ARN=...  # IAM role ARN for Daily.co S3 access
+#DAILYCO_STORAGE_AWS_BUCKET_NAME=reflector-dailyco
+#DAILYCO_STORAGE_AWS_REGION=us-west-2
+
+## Whereby (optional separate bucket)
+#WHEREBY_STORAGE_AWS_BUCKET_NAME=reflector-whereby
+#WHEREBY_STORAGE_AWS_REGION=us-east-1
+
+## Platform Configuration
+#DEFAULT_VIDEO_PLATFORM=whereby          # Default platform for new rooms

server/README.md

@@ -53,6 +53,36 @@ response = sqs.receive_message(QueueUrl=queue_url, ...)
 uv run /app/requeue_uploaded_file.py TRANSCRIPT_ID
 ```
 
+## Hatchet Setup (Fresh DB)
+
+After resetting the Hatchet database:
+
+### Option A: Automatic (CLI)
+
+```bash
+# Get default tenant ID and create token in one command
+TENANT_ID=$(docker compose exec -T postgres psql -U reflector -d hatchet -t -c \
+  "SELECT id FROM \"Tenant\" WHERE slug = 'default';" | tr -d ' \n') && \
+TOKEN=$(docker compose exec -T hatchet /hatchet-admin token create \
+  --config /config --tenant-id "$TENANT_ID" 2>/dev/null | tr -d '\n') && \
+echo "HATCHET_CLIENT_TOKEN=$TOKEN"
+```
+
+Copy the output to `server/.env`.
+
+### Option B: Manual (UI)
+
+1. Create API token at http://localhost:8889 → Settings → API Tokens
+2. Update `server/.env`: `HATCHET_CLIENT_TOKEN=<new-token>`
+
+### Then restart workers
+
+```bash
+docker compose restart server hatchet-worker
+```
+
+Workflows register automatically when hatchet-worker starts.
+
 ## Pipeline Management
 
 ### Continue stuck pipeline from final summaries (identify_participants) step:

server/docker/init-hatchet-db.sql

@@ -0,0 +1,2 @@
+-- Create hatchet database for Hatchet workflow engine
+CREATE DATABASE hatchet;

server/docs/DAILY_REFLECTOR_DATA_MODEL.md

@@ -0,0 +1,496 @@
+# Daily.co and Reflector Data Model
+
+This document explains the data model relationships between Daily.co's API concepts and Reflector's database schema, clarifying common sources of confusion.
+
+---
+
+## Table of Contents
+
+1. [Core Entities Overview](#core-entities-overview)
+2. [Daily.co vs Reflector Terminology](#dailyco-vs-reflector-terminology)
+3. [Entity Relationships](#entity-relationships)
+4. [Recording Multiplicity](#recording-multiplicity)
+5. [Session Identifiers Explained](#session-identifiers-explained)
+6. [Time-Based Matching](#time-based-matching)
+7. [Multitrack Recording Details](#multitrack-recording-details)
+8. [Verified Example](#verified-example)
+
+---
+
+## Core Entities Overview
+
+### Reflector's Four Primary Entities
+
+```
+┌─────────────────────────────────────────────────────────────────┐
+│ Room (Reflector)                                                │
+│ - Persistent meeting template                                   │
+│ - User-created configuration                                    │
+│ - Example: "team-standup"                                       │
+└────────────────────┬────────────────────────────────────────────┘
+                     │ 1:N
+                     ▼
+┌─────────────────────────────────────────────────────────────────┐
+│ Meeting (Reflector)                                             │
+│ - Single session instance                                       │
+│ - Creates NEW Daily.co room with timestamp                      │
+│ - Example: "team-standup-20260115120000"                        │
+└────────────────────┬────────────────────────────────────────────┘
+                     │ 1:N
+                     ▼
+┌─────────────────────────────────────────────────────────────────┐
+│ Recording (Reflector + Daily.co)                                │
+│ - One segment of audio/video                                    │
+│ - New recording created on stop/restart                         │
+│ - track_keys: JSON array of S3 file paths                       │
+└────────────────────┬────────────────────────────────────────────┘
+                     │ 1:1
+                     ▼
+┌─────────────────────────────────────────────────────────────────┐
+│ Transcript (Reflector)                                          │
+│ - Processed audio with transcription                            │
+│ - Diarization, summaries, topics                                │
+│ - One transcript per recording                                  │
+└─────────────────────────────────────────────────────────────────┘
+```
+
+---
+
+## Daily.co vs Reflector Terminology
+
+### Room
+
+| Aspect | Daily.co | Reflector |
+|--------|----------|-----------|
+| **Definition** | Virtual meeting space on Daily.co platform | User-created meeting template/configuration |
+| **Lifetime** | Configurable expiration | Persistent until user deletes |
+| **Creation** | API call for each meeting | Pre-created by user once |
+| **Reuse** | Can host multiple sessions | Generates new Daily.co room per meeting |
+| **Name Format** | `room-name` (reusable) | `room-name` (base identifier) |
+| **Timestamping** | Not required | Meeting adds timestamp: `{name}-YYYYMMDDHHMMSS` |
+
+**Example:**
+```
+Reflector Room: "daily-private-igor" (persistent config)
+    ↓ starts meeting
+Daily.co Room: "daily-private-igor-20260110042117"
+```
+
+### Meeting
+
+| Aspect | Daily.co | Reflector |
+|--------|----------|-----------|
+| **Definition** | Session that starts when first participant joins | Explicit database record of a session |
+| **Identifier** | `mtgSessionId` (generated by Daily.co) | `meeting.id` (UUID, generated by Reflector) |
+| **Creation** | Implicit (first participant join) | Explicit API call before participants join |
+| **Purpose** | Tracks active session state | Links recordings, transcripts, participants |
+| **Scope** | Per room instance | Per Reflector room + timestamp |
+
+**Critical Limitation:** Daily.co's recordings API often does NOT return `mtgSessionId`, requiring time-based matching (see [Time-Based Matching](#time-based-matching)).
+
+### Recording
+
+| Aspect | Daily.co | Reflector |
+|--------|----------|-----------|
+| **Definition** | Audio/video files on S3 | Metadata + processing status |
+| **Types** | `cloud` (composed video), `raw-tracks` (multitrack) | Stores references + `track_keys` array |
+| **Multiplicity** | One recording object per start/stop cycle | One DB row per Daily.co recording object |
+| **Identifier** | Daily.co `recording_id` | Same `recording_id` (stored in DB) |
+| **Multitrack** | Array of `.webm` files (one per participant) | `track_keys` JSON array with S3 paths |
+| **Linkage** | Via `room_name` + `start_ts` | FK `meeting_id` (set via time-based match) |
+
+**Critical Behavior:** Recording **stops/restarts** create **separate recording objects** with unique IDs.
+
+---
+
+## Entity Relationships
+
+### Database Schema Relationships
+
+```sql
+-- Simplified schema showing key relationships
+
+TABLE room (
+    id VARCHAR PRIMARY KEY,
+    name VARCHAR UNIQUE,
+    platform VARCHAR  -- 'whereby' | 'daily'
+)
+
+TABLE meeting (
+    id VARCHAR PRIMARY KEY,
+    room_id VARCHAR REFERENCES room(id) ON DELETE CASCADE,  -- nullable
+    room_name VARCHAR,  -- Daily.co room name (timestamped)
+    start_date TIMESTAMP,
+    platform VARCHAR
+)
+
+TABLE recording (
+    id VARCHAR PRIMARY KEY,  -- Daily.co recording_id
+    meeting_id VARCHAR,      -- FK to meeting (set via time-based match)
+    bucket_name VARCHAR,
+    object_key VARCHAR,      -- S3 prefix
+    track_keys JSON,         -- Array of S3 keys for multitrack
+    recorded_at TIMESTAMP
+)
+
+TABLE transcript (
+    id VARCHAR PRIMARY KEY,
+    recording_id VARCHAR,    -- nullable FK
+    meeting_id VARCHAR,      -- nullable FK
+    room_id VARCHAR,         -- nullable FK
+    participants JSON,       -- [{id, speaker, name, user_id}, ...]
+    title VARCHAR,
+    long_summary VARCHAR,
+    webvtt TEXT
+)
+```
+
+**Relationship Cardinalities:**
+```
+1 Room → N Meetings
+1 Meeting → N Recordings (common: 1-21 recordings per meeting)
+1 Recording → 1 Transcript
+1 Meeting → N Transcripts (via recordings)
+```
+
+---
+
+## Recording Multiplicity
+
+### Why Multiple Recordings Per Meeting?
+
+Daily.co creates a **new recording object** (new ID, new files) whenever recording stops and restarts. This happens due to:
+
+1. **Manual stop/start** - User clicks stop, then start recording again
+2. **Network reconnection** - Participant drops, reconnects → triggers restart
+3. **Participant rejoin** - Last participant leaves, new one joins → new session
+
+---
+
+## Session Identifiers Explained
+
+### The Hidden Entity: Daily.co Meeting Session
+
+Daily.co has an **implicit ephemeral entity** that sits between Room and Recording:
+
+```
+Daily.co Room: "daily-private-igor-20260110042117"
+    │
+    ├─ Daily.co Meeting Session #1 (mtgSessionId: c04334de...)
+    │   └─ Recording #3 (f4a50f94) - 4s, 1 track
+    │
+    └─ Daily.co Meeting Session #2 (mtgSessionId: 4cdae3c0...)
+        ├─ Recording #2 (b0fa94da) - 80s, 2 tracks  ← recording stopped
+        └─ Recording #1 (05edf519) - 62s, 1 track   ← then restarted
+```
+
+**Daily.co Meeting Session:**
+- **Lifecycle:** Starts when first participant joins, ends when last participant leaves
+- **Identifier:** `mtgSessionId` (generated by Daily.co)
+- **Persistence:** Ephemeral - new ID if everyone leaves and someone rejoins
+- **Relationship:** 1 Session → N Recordings (if recording stops/restarts during session)
+
+**Key Insight:** Multiple recordings can share the same `mtgSessionId` if recording was stopped and restarted while participants remained connected.
+
+### mtgSessionId (Meeting Session Identifier)
+
+`mtgSessionId` identifies a **Daily.co meeting session** (not individual participants, not a room).
+
+### session_id (Per-Participant)
+
+**Different concept:** Per-participant connection identifier from webhooks.
+
+**Reflector Tracking:** `daily_participant_session` table
+```sql
+TABLE daily_participant_session (
+    id VARCHAR PRIMARY KEY,        -- {meeting_id}:{user_id}:{joined_at_ms}
+    meeting_id VARCHAR,
+    session_id VARCHAR,            -- From webhook (per-participant)
+    user_id VARCHAR,
+    user_name VARCHAR,
+    joined_at TIMESTAMP,
+    left_at TIMESTAMP
+)
+```
+---
+
+## Time-Based Matching
+
+### Problem Statement
+
+Daily.co's recordings API does not reliably return `mtgSessionId`, making it impossible to directly link recordings to meetings via Daily.co's identifiers.
+
+**Example API response:**
+```json
+{
+  "id": "recording-uuid",
+  "room_name": "daily-private-igor-20260110042117",
+  "start_ts": 1768018896,
+  "mtgSessionId": null  ← Missing!
+}
+```
+
+### Solution: Time-Based Matching
+
+**Implementation:** `reflector/db/meetings.py:get_by_room_name_and_time()`
+
+
+---
+
+## Multitrack Recording Details
+
+### track_keys JSON Array
+
+**Schema:** `recording.track_keys` (JSON, nullable)
+```sql
+-- Example recording with 2 audio tracks
+{
+  "id": "b0fa94da-73b5-4f95-9239-5216a682a505",
+  "track_keys": [
+    "igormonadical/daily-private-igor-20260110042117/1768018896877-890c0eae-e186-4534-a7bd-7c794b7d6d7f-cam-audio-1768018914565",
+    "igormonadical/daily-private-igor-20260110042117/1768018896877-9660e8e9-4297-4f17-951d-0b2bf2401803-cam-audio-1768018899286"
+  ]
+}
+```
+
+**Semantics:**
+- `track_keys = null` → Not multitrack (cloud recording)
+- `track_keys = []` → Multitrack recording with no audio captured (silence/muted)
+- `track_keys = [...]` → Multitrack with N audio tracks
+
+**Property:** `recording.is_multitrack` (Python)
+```python
+@property
+def is_multitrack(self) -> bool:
+    return self.track_keys is not None and len(self.track_keys) > 0
+```
+
+### Track Filename Format
+
+Daily.co multitrack filenames encode timing and participant information:
+
+**Format:** `{recording_start_ts}-{participant_id}-cam-audio-{track_start_ts}`
+
+**Example:** `1768018896877-890c0eae-e186-4534-a7bd-7c794b7d6d7f-cam-audio-1768018914565`
+
+**Parsed Components:**
+```python
+# reflector/utils/daily.py:25-60
+class DailyRecordingFilename(NamedTuple):
+    recording_start_ts: int  # 1768018896877 (milliseconds)
+    participant_id: str      # 890c0eae-e186-4534-a7bd-7c794b7d6d7f
+    track_start_ts: int      # 1768018914565 (milliseconds)
+```
+
+**Note:** Browser downloads from S3 add `.webm` extension due to MIME headers, but S3 object keys have no extension.
+
+### Video Track Filtering
+
+Daily.co API returns both audio and video tracks, but Reflector only processes audio.
+
+**Filtering Logic:** `reflector/worker/process.py:660`
+```python
+track_keys = [t.s3Key for t in recording.tracks if t.type == "audio"]
+```
+
+**Example API Response:**
+```json
+{
+  "tracks": [
+    {"type": "audio", "s3Key": "...cam-audio-1768018914565"},
+    {"type": "audio", "s3Key": "...cam-audio-1768018899286"},
+    {"type": "video", "s3Key": "...cam-video-1768018897095"}  ← Filtered out
+  ]
+}
+```
+
+**Result:** Only 2 audio tracks stored in `recording.track_keys`, video track discarded.
+
+**Rationale:** Reflector is audio transcription system; video not needed for processing.
+
+### Track-to-Participant Mapping
+
+**Flow:**
+1. Daily.co webhook/polling provides `track_keys` array
+2. Each track filename contains `participant_id`
+3. Reflector queries Daily.co API: `GET /meetings/{mtgSessionId}/participants`
+4. Maps `participant_id` → `user_name`
+5. Stores in `transcript.participants` JSON:
+```json
+[
+  {
+    "id": "890c0eae-e186-4534-a7bd-7c794b7d6d7f",
+    "speaker": 0,
+    "name": "test2",
+    "user_id": "907f2cc1-eaab-435f-8ee2-09185f416b22"
+  },
+  {
+    "id": "9660e8e9-4297-4f17-951d-0b2bf2401803",
+    "speaker": 1,
+    "name": "test",
+    "user_id": "907f2cc1-eaab-435f-8ee2-09185f416b22"
+  }
+]
+```
+
+**Diarization:** Multitrack recordings don't need speaker diarization AI — speaker identity comes from separate audio tracks.
+
+---
+
+## Example
+
+### Meeting: daily-private-igor-20260110042117
+
+**Context:** User conducted test recording with start/stop cycles, producing 3 recordings.
+
+#### Database State
+
+```sql
+-- Meeting
+id: 034804b8-cee2-4fb4-94d7-122f6f068a61
+room_name: daily-private-igor-20260110042117
+start_date: 2026-01-10 04:21:17+00
+```
+
+#### Daily.co API Response
+
+```json
+[
+  {
+    "id": "f4a50f94-053c-4f9d-bda6-78ad051fbc36",
+    "room_name": "daily-private-igor-20260110042117",
+    "start_ts": 1768018885,
+    "duration": 4,
+    "status": "finished",
+    "mtgSessionId": "c04334de-42a0-4c2a-96be-a49b068dca85",
+    "tracks": [
+      {"type": "audio", "s3Key": "...62e8f3ae...cam-audio-1768018885417"}
+    ]
+  },
+  {
+    "id": "b0fa94da-73b5-4f95-9239-5216a682a505",
+    "room_name": "daily-private-igor-20260110042117",
+    "start_ts": 1768018896,
+    "duration": 80,
+    "status": "finished",
+    "mtgSessionId": "4cdae3c0-86cb-4578-8a6d-3a228bb48345",
+    "tracks": [
+      {"type": "audio", "s3Key": "...890c0eae...cam-audio-1768018914565"},
+      {"type": "audio", "s3Key": "...9660e8e9...cam-audio-1768018899286"},
+      {"type": "video", "s3Key": "...9660e8e9...cam-video-1768018897095"}
+    ]
+  },
+  {
+    "id": "05edf519-9048-4b49-9a75-73e9826fd950",
+    "room_name": "daily-private-igor-20260110042117",
+    "start_ts": 1768018914,
+    "duration": 62,
+    "status": "finished",
+    "mtgSessionId": "4cdae3c0-86cb-4578-8a6d-3a228bb48345",
+    "tracks": [
+      {"type": "audio", "s3Key": "...890c0eae...cam-audio-1768018914948"}
+    ]
+  }
+]
+```
+
+**Key Observations:**
+- 3 recording objects returned by Daily.co
+- 2 different `mtgSessionId` values (2 different meeting instances)
+- Recording #2 has 3 tracks (2 audio + 1 video)
+- Timestamps: 1768018885 → 1768018896 (+11s) → 1768018914 (+18s)
+
+#### Reflector Database
+
+**Recordings:**
+```
+┌──────────────────────────────────────┬──────────────┬────────────┬──────────────────────────────────────┐
+│ id                                   │ track_count  │ duration   │ mtgSessionId                         │
+├──────────────────────────────────────┼──────────────┼────────────┼──────────────────────────────────────┤
+│ f4a50f94-053c-4f9d-bda6-78ad051fbc36 │ 1            │ 4s         │ c04334de-42a0-4c2a-96be-a49b068dca85 │
+│ b0fa94da-73b5-4f95-9239-5216a682a505 │ 2 (video=0)  │ 80s        │ 4cdae3c0-86cb-4578-8a6d-3a228bb48345 │
+│ 05edf519-9048-4b49-9a75-73e9826fd950 │ 1            │ 62s        │ 4cdae3c0-86cb-4578-8a6d-3a228bb48345 │
+└──────────────────────────────────────┴──────────────┴────────────┴──────────────────────────────────────┘
+```
+**Note:** Recording #2 has 2 audio tracks (video filtered out), not 3.
+
+**Transcripts:**
+```
+┌──────────────────────────────────────┬──────────────────────────────────────┬──────────────┬──────────────────────────────────────────────┐
+│ id                                   │ recording_id                         │ participants │ title                                        │
+├──────────────────────────────────────┼──────────────────────────────────────┼──────────────┼──────────────────────────────────────────────┤
+│ 17149b1f-546c-4837-80a0-f8140bd16592 │ f4a50f94-053c-4f9d-bda6-78ad051fbc36 │ 1 (test)     │ (empty - no speech)                          │
+│ 49801332-3222-4c11-bdb2-375479fc87f2 │ b0fa94da-73b5-4f95-9239-5216a682a505 │ 2 (test,     │ "Examination and Validation Procedures       │
+│                                      │                                      │   test2)     │  Review"                                     │
+│ e5271e12-20fb-42d2-b5a8-21438abadef9 │ 05edf519-9048-4b49-9a75-73e9826fd950 │ 1 (test2)    │ "Technical Sound Check Procedure Review"     │
+└──────────────────────────────────────┴──────────────────────────────────────┴──────────────┴──────────────────────────────────────────────┘
+```
+
+**Transcript Content:**
+
+*Transcript #1* (17149b1f): Empty WebVTT (no audio captured)
+
+*Transcript #2* (49801332):
+```webvtt
+WEBVTT
+
+00:00:03.109 --> 00:00:05.589
+<v Speaker1>Test, test, test. Test, test, test, test, test.
+
+00:00:19.829 --> 00:00:22.710
+<v Speaker0>Test test test test test test test test test test test.
+```
+**AI-Generated Summary:**
+> "The meeting focused on the critical importance of rigorous testing for ensuring reliability and quality, with test and test2 emphasizing the need for a structured testing framework and meticulous documentation..."
+
+*Transcript #3* (e5271e12):
+```webvtt
+WEBVTT
+
+00:00:02.029 --> 00:00:04.910
+<v Speaker0>Test, test, test, test, test, test, test, test, test, test, test.
+```
+
+#### Validation: track_keys → participants
+
+**Recording #2 (b0fa94da) tracks:**
+```json
+[
+  ".../890c0eae-e186-4534-a7bd-7c794b7d6d7f-cam-audio-...",
+  ".../9660e8e9-4297-4f17-951d-0b2bf2401803-cam-audio-..."
+]
+```
+
+**Transcript #2 (49801332) participants:**
+```json
+[
+  {"id": "890c0eae-e186-4534-a7bd-7c794b7d6d7f", "speaker": 0, "name": "test2"},
+  {"id": "9660e8e9-4297-4f17-951d-0b2bf2401803", "speaker": 1, "name": "test"}
+]
+```
+
+### Data Flow
+
+```
+Daily.co API: 3 recordings
+    ↓
+Polling: _poll_raw_tracks_recordings()
+    ↓
+Worker: process_multitrack_recording.delay() × 3
+    ↓
+DB: 3 recording rows created
+    ↓
+Pipeline: Audio processing + transcription × 3
+    ↓
+DB: 3 transcript rows created (1:1 with recordings)
+    ↓
+UI: User sees 3 separate transcripts
+```
+
+**Result:** ✅ 1:1 Recording → Transcript relationship maintained.
+
+
+---
+**Document Version:** 1.0
+**Last Verified:** 2026-01-15
+**Data Source:** Production database + Daily.co API inspection

server/docs/daily_pipeline.md

@@ -0,0 +1,421 @@
+# Daily.co pipeline
+
+This document details every external call, storage operation, and database write that occurs when a new Daily.co recording is discovered.
+It includes a bunch of common logic that other pipelines use, therefore not everything is Daily-oriented.
+
+**The doc was generated at 12.12.2025 and things may have changed since.**
+
+## Trigger
+
+Two entry points, both converging to the same handler:
+
+1. **Webhook**: Daily.co sends `POST /v1/daily/webhook` with `recording.ready-to-download`
+2. **Polling**: `GET /recordings` (paginated, max 100/call) → filter new → convert to same payload format
+
+Both produce `RecordingReadyPayload` and call `handleRecordingReady(payload)`.
+
+```
+┌─────────────────┐     ┌──────────────────────────┐
+│  Daily Webhook  │────▶│  RecordingReadyPayload   │
+│  (push)         │     │  {room_name, recording_id│
+└─────────────────┘     │   tracks[], ...}         │
+                        └────────────┬─────────────┘
+┌─────────────────┐                  │
+│  GET /recordings│                  ▼
+│  (poll)         │────▶ convert ──▶ handleRecordingReady()
+└─────────────────┘                  │
+                                     ▼
+                        ┌────────────────────────┐
+                        │ process_multitrack_    │
+                        │ recording pipeline     │
+                        └────────────────────────┘
+```
+
+**Polling API**: `GET https://api.daily.co/v1/recordings`
+- Pagination: `limit` (max 100), `starting_after`, `ending_before`
+- Rate limit: ~2 req/sec
+- Response: `{total_count, data: Recording[]}`
+
+```mermaid
+flowchart TB
+    subgraph Trigger["1. Recording Discovery - Daily.co Webhook"]
+        DAILY_WEBHOOK["Daily.co sends POST /v1/daily/webhook<br/>type: recording.ready-to-download"]
+        VERIFY["Verify X-Webhook-Signature (HMAC)"]
+        PARSE["Parse DailyWebhookEvent<br/>Extract tracks[], room_name, recording_id"]
+        FILTER["Filter audio tracks only<br/>track_keys = [t.s3Key for t in tracks if t.type == 'audio']"]
+        DISPATCH["process_multitrack_recording.delay()"]
+
+        DAILY_WEBHOOK --> VERIFY --> PARSE --> FILTER --> DISPATCH
+    end
+
+    subgraph Init["2. Recording Initialization"]
+        FETCH_MEETING[DB READ: meetings_controller.get_by_room_name]
+        FETCH_ROOM[DB READ: rooms_controller.get_by_name]
+        DAILY_API_REC[Daily API: GET /recordings/recording_id]
+        DAILY_API_PART[Daily API: GET /meetings/mtgSessionId/participants]
+        CREATE_RECORDING[DB WRITE: recordings_controller.create]
+        CREATE_TRANSCRIPT[DB WRITE: transcripts_controller.add]
+        MAP_PARTICIPANTS[DB WRITE: transcript.participants upsert]
+    end
+
+    subgraph Pipeline["3. Processing Pipeline"]
+        direction TB
+        PAD[Track Padding & Mixdown]
+        TRANSCRIBE[GPU: Transcription per track]
+        TOPICS[LLM: Topic Detection]
+        TITLE[LLM: Title Generation]
+        SUMMARY[LLM: Summary Generation]
+    end
+
+    subgraph Storage["4. S3 Operations"]
+        S3_PRESIGN[S3: generate_presigned_url for tracks]
+        S3_UPLOAD_PADDED[S3 UPLOAD: padded tracks temp]
+        S3_UPLOAD_MP3[S3 UPLOAD: audio.mp3]
+        S3_DELETE_TEMP[S3 DELETE: cleanup temp files]
+    end
+
+    subgraph PostProcess["5. Post-Processing"]
+        CONSENT[Consent check & cleanup]
+        ZULIP[Zulip: send/update message]
+        WEBHOOK_OUT[Webhook: POST to room.webhook_url]
+    end
+
+    Trigger --> Init --> Pipeline
+    Pipeline --> Storage
+    Pipeline --> PostProcess
+```
+
+## Detailed Sequence: Daily.co Multitrack Recording
+
+```mermaid
+sequenceDiagram
+    participant DailyCo as Daily.co
+    participant API as FastAPI /v1/daily/webhook
+    participant Worker as Celery Worker
+    participant DB as PostgreSQL
+    participant DailyAPI as Daily.co REST API
+    participant S3 as AWS S3
+    participant GPU as Modal.com GPU
+    participant LLM as LLM Service
+    participant WS as WebSocket
+    participant Zulip as Zulip
+    participant ExtWH as External Webhook
+
+    Note over DailyCo,API: Phase 0: Webhook Receipt
+    DailyCo->>API: POST /v1/daily/webhook
+    Note right of DailyCo: X-Webhook-Signature, X-Webhook-Timestamp
+    API->>API: verify_webhook_signature()
+    API->>API: Extract audio track s3Keys from payload.tracks[]
+    API->>Worker: process_multitrack_recording.delay()
+    API-->>DailyCo: 200 OK
+
+    Note over Worker,DailyAPI: Phase 1: Recording Initialization
+    Worker->>DB: SELECT meeting WHERE room_name=?
+    Worker->>DB: SELECT room WHERE name=?
+    Worker->>DailyAPI: GET /recordings/{recording_id}
+    DailyAPI-->>Worker: {mtgSessionId, ...}
+    Worker->>DailyAPI: GET /meetings/{mtgSessionId}/participants
+    DailyAPI-->>Worker: [{participant_id, user_name}, ...]
+    Worker->>DB: INSERT INTO recording
+    Worker->>DB: INSERT INTO transcript (status='idle')
+    loop For each track_key (parse participant_id from filename)
+        Worker->>DB: UPSERT transcript.participants[speaker=idx, name=X]
+    end
+
+    Note over Worker,S3: Phase 2: Track Padding
+    Worker->>DB: UPDATE transcript SET status='processing'
+    Worker->>WS: broadcast STATUS='processing'
+    loop For each track in track_keys (N tracks)
+        Worker->>S3: generate_presigned_url(track_key, DAILYCO_BUCKET)
+        S3-->>Worker: presigned_url (2hr)
+        Note over Worker: PyAV: read WebM, extract start_time
+        Note over Worker: PyAV: adelay filter (pad silence)
+        Worker->>S3: PUT file_pipeline/{id}/tracks/padded_{idx}.webm
+        Worker->>S3: generate_presigned_url(padded_{idx}.webm)
+    end
+
+    Note over Worker,S3: Phase 3: Audio Mixdown
+    Note over Worker: PyAV: amix filter → stereo MP3
+    Worker->>DB: UPDATE transcript SET duration=X
+    Worker->>WS: broadcast DURATION
+    Worker->>S3: PUT {transcript_id}/audio.mp3
+    Worker->>DB: UPDATE transcript SET audio_location='storage'
+
+    Note over Worker: Phase 4: Waveform
+    Note over Worker: Generate peaks from MP3
+    Worker->>DB: UPDATE events+=WAVEFORM
+    Worker->>WS: broadcast WAVEFORM
+
+    Note over Worker,GPU: Phase 5: Transcription (N GPU calls)
+    loop For each padded track URL (N tracks)
+        Worker->>GPU: POST /v1/audio/transcriptions-from-url
+        Note right of GPU: {audio_file_url, language, batch:true}
+        GPU-->>Worker: {words: [{word, start, end}, ...]}
+        Note over Worker: Assign speaker=track_idx to words
+    end
+    Note over Worker: Merge all words, sort by start time
+    Worker->>DB: UPDATE events+=TRANSCRIPT
+    Worker->>WS: broadcast TRANSCRIPT
+
+    Note over Worker,S3: Cleanup temp files
+    loop For each padded file
+        Worker->>S3: DELETE padded_{idx}.webm
+    end
+
+    Note over Worker,LLM: Phase 6: Topic Detection (C LLM calls)
+    Note over Worker: C = ceil(total_words / 300)
+    loop For each 300-word chunk (C chunks)
+        Worker->>LLM: TOPIC_PROMPT + words[i:i+300]
+        Note right of LLM: "Extract main topic title + 2-sentence summary"
+        LLM-->>Worker: TitleSummary{title, summary}
+        Worker->>DB: UPSERT topics[]
+        Worker->>DB: UPDATE events+=TOPIC
+        Worker->>WS: broadcast TOPIC
+    end
+
+    Note over Worker,LLM: Phase 7a: Title Generation (1 LLM call)
+    Note over Worker: Input: all TitleSummary[].title joined
+    Worker->>LLM: TITLE_PROMPT
+    Note right of LLM: "Generate concise title from topic titles"
+    LLM-->>Worker: "Meeting Title"
+    Worker->>DB: UPDATE transcript SET title=X
+    Worker->>DB: UPDATE events+=FINAL_TITLE
+    Worker->>WS: broadcast FINAL_TITLE
+
+    Note over Worker,LLM: Phase 7b: Summary Generation (2+2M LLM calls)
+    Note over Worker: Reconstruct full transcript from TitleSummary[].transcript
+    opt If participants unknown
+        Worker->>LLM: PARTICIPANTS_PROMPT
+        LLM-->>Worker: ParticipantsResponse
+    end
+    Worker->>LLM: SUBJECTS_PROMPT (call #1)
+    Note right of LLM: "Main high-level topics? Max 6"
+    LLM-->>Worker: SubjectsResponse{subjects: ["A", "B", ...]}
+
+    loop For each subject (M subjects, max 6)
+        Worker->>LLM: DETAILED_SUBJECT_PROMPT (call #2..#1+M)
+        Note right of LLM: "Info about 'A': decisions, actions, deadlines"
+        LLM-->>Worker: detailed_response (discarded after next call)
+        Worker->>LLM: PARAGRAPH_SUMMARY_PROMPT (call #2+M..#1+2M)
+        Note right of LLM: "Summarize in 1 paragraph"
+        LLM-->>Worker: paragraph → summaries[]
+    end
+
+    Worker->>LLM: RECAP_PROMPT (call #2+2M)
+    Note right of LLM: "High-level quick recap, 1 paragraph"
+    LLM-->>Worker: recap
+    Note over Worker: long_summary = "# Quick recap\n{recap}\n# Summary\n**A**\n{para1}..."
+    Note over Worker: short_summary = recap only
+    Worker->>DB: UPDATE long_summary, short_summary
+    Worker->>DB: UPDATE events+=FINAL_LONG_SUMMARY
+    Worker->>WS: broadcast FINAL_LONG_SUMMARY
+    Worker->>DB: UPDATE events+=FINAL_SHORT_SUMMARY
+    Worker->>WS: broadcast FINAL_SHORT_SUMMARY
+
+    Note over Worker,DB: Phase 8: Finalize
+    Worker->>DB: UPDATE transcript SET status='ended'
+    Worker->>DB: UPDATE events+=STATUS
+    Worker->>WS: broadcast STATUS='ended'
+
+    Note over Worker,ExtWH: Phase 9: Post-Processing Chain
+    Worker->>DB: SELECT meeting_consent WHERE meeting_id=?
+    alt Any consent denied
+        Worker->>S3: DELETE tracks from DAILYCO_BUCKET
+        Worker->>S3: DELETE audio.mp3 from TRANSCRIPT_BUCKET
+        Worker->>DB: UPDATE transcript SET audio_deleted=true
+    end
+
+    opt Room has zulip_auto_post=true
+        alt Existing zulip_message_id
+            Worker->>Zulip: PATCH /api/v1/messages/{id}
+        else New
+            Worker->>Zulip: POST /api/v1/messages
+            Zulip-->>Worker: {id}
+            Worker->>DB: UPDATE transcript SET zulip_message_id=X
+        end
+    end
+
+    opt Room has webhook_url
+        Worker->>ExtWH: POST {webhook_url}
+        Note right of ExtWH: X-Webhook-Signature: HMAC-SHA256
+        Note right of ExtWH: Body: {transcript_id, room_id, ...}
+    end
+```
+
+## Title & Summary Generation Data Flow
+
+```mermaid
+flowchart TB
+    subgraph Input["Input: TitleSummary[] from Topic Detection"]
+        TS1["TitleSummary 1<br/>title: 'Q1 Budget'<br/>transcript: words[0:300]"]
+        TS2["TitleSummary 2<br/>title: 'Product Launch'<br/>transcript: words[300:600]"]
+        TS3["TitleSummary N..."]
+    end
+
+    subgraph TitleGen["Title Generation"]
+        T1["Extract .title from each TitleSummary"]
+        T2["Concatenate: '- Q1 Budget\n- Product Launch\n...'"]
+        T3["LLM: TITLE_PROMPT\n'Generate concise title from topic titles'"]
+        T4["Output: FinalTitle"]
+
+        T1 --> T2 --> T3 --> T4
+    end
+
+    subgraph SummaryGen["Summary Generation"]
+        direction TB
+
+        subgraph Reconstruct["1. Reconstruct Full Transcript"]
+            S1["For each TitleSummary.transcript.as_segments()"]
+            S2["Map speaker ID → name"]
+            S3["Build: 'Alice: hello\nBob: hi\n...'"]
+            S1 --> S2 --> S3
+        end
+
+        subgraph Subjects["2. Extract Subjects - LLM call #1"]
+            S4["LLM: SUBJECTS_PROMPT\n'Main high-level topics? Max 6'"]
+            S5["subjects[] = ['Budget Review', ...]"]
+            S4 --> S5
+        end
+
+        subgraph DetailedSum["3. Per-Subject Summary - LLM calls #2 to #(1+2M)"]
+            S6["For each subject:"]
+            S7["LLM: DETAILED_SUBJECT_PROMPT\n'Info about subject: decisions, actions...'"]
+            S8["detailed_response - NOT STORED"]
+            S9["LLM: PARAGRAPH_SUMMARY_PROMPT\n'Summarize in 1 paragraph'"]
+            S10["paragraph → summaries[]"]
+
+            S6 --> S7 --> S8 --> S9 --> S10
+        end
+
+        subgraph Recap["4. Generate Recap - LLM call #(2+2M)"]
+            S11["Concatenate paragraph summaries"]
+            S12["LLM: RECAP_PROMPT\n'High-level recap, 1 paragraph'"]
+            S13["recap"]
+            S11 --> S12 --> S13
+        end
+
+        subgraph Output["5. Output"]
+            S14["long_summary = markdown:\n# Quick recap\n[recap]\n# Summary\n**Subject 1**\n[para1]..."]
+            S15["short_summary = recap only"]
+            S14 --> S15
+        end
+
+        Reconstruct --> Subjects --> DetailedSum --> Recap --> Output
+    end
+
+    Input --> TitleGen
+    Input --> SummaryGen
+```
+
+### topics[] vs subjects[]
+
+| | topics[] | subjects[] |
+|-|----------|------------|
+| **Source** | 300-word chunk splitting | LLM extraction from full text |
+| **Count** | Variable (words / 300) | Max 6 |
+| **Purpose** | Timeline segmentation | Summary structure |
+| **Has timestamp?** | Yes | No |
+
+## External API Calls Summary
+
+### 1. Daily.co REST API (called during initialization)
+
+| Endpoint | Method | When | Purpose |
+|----------|--------|------|---------|
+| `GET /recordings/{recording_id}` | GET | After webhook | Get mtgSessionId for participant lookup |
+| `GET /meetings/{mtgSessionId}/participants` | GET | After above | Map participant_id → user_name |
+
+### 2. GPU Service (Modal.com or Self-Hosted)
+
+| Endpoint | Method | Count | Request |
+|----------|--------|-------|---------|
+| `{TRANSCRIPT_URL}/v1/audio/transcriptions-from-url` | POST | **N** (N = num tracks) | `{audio_file_url, language, batch: true}` |
+
+**Note**: Diarization is NOT called for multitrack - speaker identification comes from separate tracks.
+
+### 3. LLM Service (OpenAI-compatible via LlamaIndex)
+
+| Phase | Operation | Input | LLM Calls | Output |
+|-------|-----------|-------|-----------|--------|
+| Topic Detection | TOPIC_PROMPT per 300-word chunk | words[i:i+300] | **C** = ceil(words/300) | TitleSummary{title, summary, timestamp} |
+| Title Generation | TITLE_PROMPT | All topic titles joined | **1** | FinalTitle |
+| Participant ID | PARTICIPANTS_PROMPT | Full transcript | **0-1** (skipped if known) | ParticipantsResponse |
+| Subject Extraction | SUBJECTS_PROMPT | Full transcript | **1** | SubjectsResponse{subjects[]} |
+| Subject Detail | DETAILED_SUBJECT_PROMPT | Full transcript + subject name | **M** (M = subjects, max 6) | detailed text (discarded) |
+| Subject Paragraph | PARAGRAPH_SUMMARY_PROMPT | Detailed text | **M** | paragraph text → summaries[] |
+| Recap | RECAP_PROMPT | All paragraph summaries | **1** | recap text |
+
+**Total LLM calls**: C + 2M + 3 (+ 1 if participants unknown)
+- Short meeting (1000 words, 3 subjects): ~4 + 6 + 3 = **13 calls**
+- Long meeting (5000 words, 6 subjects): ~17 + 12 + 3 = **32 calls**
+
+## S3 Operations Summary
+
+### Source Bucket: `DAILYCO_STORAGE_AWS_BUCKET_NAME`
+Daily.co uploads raw-tracks recordings here.
+
+| Operation | Key Pattern | When |
+|-----------|-------------|------|
+| **READ** (presign) | `{domain}/{room_name}/{ts}/{participant_id}-cam-audio-{ts}.webm` | Track acquisition |
+| **DELETE** | Same as above | Consent denied cleanup |
+
+### Transcript Storage Bucket: `TRANSCRIPT_STORAGE_AWS_BUCKET_NAME`
+Reflector's own storage.
+
+| Operation | Key Pattern | When |
+|-----------|-------------|------|
+| **PUT** | `file_pipeline/{transcript_id}/tracks/padded_{idx}.webm` | After track padding |
+| **READ** (presign) | Same | For GPU transcription |
+| **DELETE** | Same | After transcription complete |
+| **PUT** | `{transcript_id}/audio.mp3` | After mixdown |
+| **DELETE** | Same | Consent denied cleanup |
+
+## Database Operations
+
+### Tables Written
+
+| Table | Operation | When |
+|-------|-----------|------|
+| `recording` | INSERT | Initialization |
+| `transcript` | INSERT | Initialization |
+| `transcript` | UPDATE (participants) | After Daily API participant fetch |
+| `transcript` | UPDATE (status, events, duration, topics, title, summaries, etc.) | Throughout pipeline |
+
+### Transcript Update Sequence
+
+```
+1.  INSERT: id, name, status='idle', source_kind='room', user_id, recording_id, room_id, meeting_id
+2.  UPDATE: participants[] (speaker index → participant name mapping)
+3.  UPDATE: status='processing', events+=[{event:'STATUS', data:{value:'processing'}}]
+4.  UPDATE: duration=X, events+=[{event:'DURATION', data:{duration:X}}]
+5.  UPDATE: audio_location='storage'
+6.  UPDATE: events+=[{event:'WAVEFORM', data:{waveform:[...]}}]
+7.  UPDATE: events+=[{event:'TRANSCRIPT', data:{text, translation}}]
+8.  UPDATE: topics[]+=topic, events+=[{event:'TOPIC'}]  -- repeated per chunk
+9.  UPDATE: title=X, events+=[{event:'FINAL_TITLE'}]
+10. UPDATE: long_summary=X, events+=[{event:'FINAL_LONG_SUMMARY'}]
+11. UPDATE: short_summary=X, events+=[{event:'FINAL_SHORT_SUMMARY'}]
+12. UPDATE: status='ended', events+=[{event:'STATUS', data:{value:'ended'}}]
+13. UPDATE: zulip_message_id=X  -- if Zulip enabled
+14. UPDATE: audio_deleted=true  -- if consent denied
+```
+
+## WebSocket Events
+
+All broadcast to room `ts:{transcript_id}`:
+
+| Event | Payload | Trigger |
+|-------|---------|---------|
+| STATUS | `{value: "processing"\|"ended"\|"error"}` | Status transitions |
+| DURATION | `{duration: float}` | After audio processing |
+| WAVEFORM | `{waveform: float[]}` | After waveform generation |
+| TRANSCRIPT | `{text: string, translation: string\|null}` | After transcription merge |
+| TOPIC | `{id, title, summary, timestamp, duration, transcript, words}` | Per topic detected |
+| FINAL_TITLE | `{title: string}` | After LLM title generation |
+| FINAL_LONG_SUMMARY | `{long_summary: string}` | After LLM summary |
+| FINAL_SHORT_SUMMARY | `{short_summary: string}` | After LLM recap |
+
+User-room broadcasts to `user:{user_id}`:
+- `TRANSCRIPT_STATUS`
+- `TRANSCRIPT_FINAL_TITLE`
+- `TRANSCRIPT_DURATION`

server/docs/video-platforms/README.md

@@ -0,0 +1,238 @@
+# Reflector Architecture: Whereby + Daily.co Recording Storage
+
+## System Overview
+
+```mermaid
+graph TB
+    subgraph "Actors"
+        APP[Our App<br/>Reflector]
+        WHEREBY[Whereby Service<br/>External]
+        DAILY[Daily.co Service<br/>External]
+    end
+
+    subgraph "AWS S3 Buckets"
+        TRANSCRIPT_BUCKET[Transcript Bucket<br/>reflector-transcripts<br/>Output: Processed MP3s]
+        WHEREBY_BUCKET[Whereby Bucket<br/>reflector-whereby-recordings<br/>Input: Raw MP4s]
+        DAILY_BUCKET[Daily.co Bucket<br/>reflector-dailyco-recordings<br/>Input: Raw WebM tracks]
+    end
+
+    subgraph "AWS Infrastructure"
+        SQS[SQS Queue<br/>Whereby notifications]
+    end
+
+    subgraph "Database"
+        DB[(PostgreSQL<br/>Recordings, Transcripts, Meetings)]
+    end
+
+    APP -->|Write processed| TRANSCRIPT_BUCKET
+    APP -->|Read/Delete| WHEREBY_BUCKET
+    APP -->|Read/Delete| DAILY_BUCKET
+    APP -->|Poll| SQS
+    APP -->|Store metadata| DB
+
+    WHEREBY -->|Write recordings| WHEREBY_BUCKET
+    WHEREBY_BUCKET -->|S3 Event| SQS
+    WHEREBY -->|Participant webhooks<br/>room.client.joined/left| APP
+
+    DAILY -->|Write recordings| DAILY_BUCKET
+    DAILY -->|Recording webhook<br/>recording.ready-to-download| APP
+```
+
+**Note on Webhook vs S3 Event for Recording Processing:**
+- **Whereby**: Uses S3 Events → SQS for recording availability (S3 as source of truth, no race conditions)
+- **Daily.co**: Uses webhooks for recording availability (more immediate, built-in reliability)
+- **Both**: Use webhooks for participant tracking (real-time updates)
+
+## Credentials & Permissions
+
+```mermaid
+graph LR
+    subgraph "Master Credentials"
+        MASTER[TRANSCRIPT_STORAGE_AWS_*<br/>Access Key ID + Secret]
+    end
+
+    subgraph "Whereby Upload Credentials"
+        WHEREBY_CREDS[AWS_WHEREBY_ACCESS_KEY_*<br/>Access Key ID + Secret]
+    end
+
+    subgraph "Daily.co Upload Role"
+        DAILY_ROLE[DAILY_STORAGE_AWS_ROLE_ARN<br/>IAM Role ARN]
+    end
+
+    subgraph "Our App Uses"
+        MASTER -->|Read/Write/Delete| TRANSCRIPT_BUCKET[Transcript Bucket]
+        MASTER -->|Read/Delete| WHEREBY_BUCKET[Whereby Bucket]
+        MASTER -->|Read/Delete| DAILY_BUCKET[Daily.co Bucket]
+        MASTER -->|Poll/Delete| SQS[SQS Queue]
+    end
+
+    subgraph "We Give To Services"
+        WHEREBY_CREDS -->|Passed in API call| WHEREBY_SERVICE[Whereby Service]
+        WHEREBY_SERVICE -->|Write Only| WHEREBY_BUCKET
+
+        DAILY_ROLE -->|Passed in API call| DAILY_SERVICE[Daily.co Service]
+        DAILY_SERVICE -->|Assume Role| DAILY_ROLE
+        DAILY_SERVICE -->|Write Only| DAILY_BUCKET
+    end
+```
+
+# Video Platform Recording Integration
+
+This document explains how Reflector receives and identifies multitrack audio recordings from different video platforms.
+
+## Platform Comparison
+
+| Platform | Delivery Method | Track Identification |
+|----------|----------------|---------------------|
+| **Daily.co** | Webhook | Explicit track list in payload |
+| **Whereby** | SQS (S3 notifications) | Single file per notification |
+
+---
+
+## Daily.co
+
+**Note:** Primary discovery via polling (`poll_daily_recordings`), webhooks as backup.
+
+Daily.co uses **webhooks** to notify Reflector when recordings are ready.
+
+### How It Works
+
+1. **Daily.co sends webhook** when recording is ready
+   - Event type: `recording.ready-to-download`
+   - Endpoint: `/v1/daily/webhook` (`reflector/views/daily.py:46-102`)
+
+2. **Webhook payload explicitly includes track list**:
+```json
+{
+  "recording_id": "7443ee0a-dab1-40eb-b316-33d6c0d5ff88",
+  "room_name": "daily-20251020193458",
+  "tracks": [
+    {
+      "type": "audio",
+      "s3Key": "monadical/daily-20251020193458/1760988935484-52f7f48b-fbab-431f-9a50-87b9abfc8255-cam-audio-1760988935922",
+      "size": 831843
+    },
+    {
+      "type": "audio",
+      "s3Key": "monadical/daily-20251020193458/1760988935484-a37c35e3-6f8e-4274-a482-e9d0f102a732-cam-audio-1760988943823",
+      "size": 408438
+    },
+    {
+      "type": "video",
+      "s3Key": "monadical/daily-20251020193458/...-video.webm",
+      "size": 30000000
+    }
+  ]
+}
+```
+
+3. **System extracts audio tracks** (`daily.py:211`):
+```python
+track_keys = [t.s3Key for t in tracks if t.type == "audio"]
+```
+
+4. **Triggers multitrack processing** (`daily.py:213-218`):
+```python
+process_multitrack_recording.delay(
+    bucket_name=bucket_name,  # reflector-dailyco-local
+    room_name=room_name,      # daily-20251020193458
+    recording_id=recording_id, # 7443ee0a-dab1-40eb-b316-33d6c0d5ff88
+    track_keys=track_keys      # Only audio s3Keys
+)
+```
+
+### Key Advantage: No Ambiguity
+
+Even though multiple meetings may share the same S3 bucket/folder (`monadical/`), **there's no ambiguity** because:
+- Each webhook payload contains the exact `s3Key` list for that specific `recording_id`
+- No need to scan folders or guess which files belong together
+- Each track's s3Key includes the room timestamp subfolder (e.g., `daily-20251020193458/`)
+
+The room name includes timestamp (`daily-20251020193458`) to keep recordings organized, but **the webhook's explicit track list is what prevents mixing files from different meetings**.
+
+### Track Timeline Extraction
+
+Daily.co provides timing information in two places:
+
+**1. PyAV WebM Metadata (current approach)**:
+```python
+# Read from WebM container stream metadata
+stream.start_time = 8.130s  # Meeting-relative timing
+```
+
+**2. Filename Timestamps (alternative approach, commit 3bae9076)**:
+```
+Filename format: {recording_start_ts}-{uuid}-cam-audio-{track_start_ts}.webm
+Example: 1760988935484-52f7f48b-fbab-431f-9a50-87b9abfc8255-cam-audio-1760988935922.webm
+
+Parse timestamps:
+- recording_start_ts: 1760988935484 (Unix ms)
+- track_start_ts: 1760988935922 (Unix ms)
+- offset: (1760988935922 - 1760988935484) / 1000 = 0.438s
+```
+
+**Time Difference (PyAV vs Filename)**:
+```
+Track 0:
+  Filename offset: 438ms
+  PyAV metadata:   229ms
+  Difference:      ~200ms
+
+Track 1:
+  Filename offset: 8339ms
+  PyAV metadata:   8130ms
+  Difference:      ~200ms
+```
+
+**Consistent ~200ms delta** suggests network/encoding delay between file upload initiation (filename) and actual audio stream start (metadata).
+
+**Note:** The ~200ms difference observed in this test recording is not crucial for timing accuracy. Either method (filename timestamps or PyAV metadata) works well for multi-track alignment. Filename timestamps are preferable as they are better officially documented by Daily.co.
+
+**Current implementation uses PyAV metadata** because:
+- More accurate (represents when audio actually started)
+- Padding BEFORE transcription produces correct Whisper timestamps automatically
+- No manual offset adjustment needed during transcript merge
+
+### Why Re-encoding During Padding
+
+Padding coincidentally involves re-encoding, which is important for Daily.co + Whisper:
+
+**Problem:** Daily.co skips frames in recordings when microphone is muted or paused
+- WebM containers have gaps where audio frames should be
+- Whisper doesn't understand these gaps and produces incorrect timestamps
+- Example: 5s of audio with 2s muted → file has frames only for 3s, Whisper thinks duration is 3s
+
+**Solution:** Re-encoding via PyAV filter graph (`adelay` + `aresample`)
+- Restores missing frames as silence
+- Produces continuous audio stream without gaps
+- Whisper now sees correct duration and produces accurate timestamps
+
+**Why combined with padding:**
+- Already re-encoding for padding (adding initial silence)
+- More performant to do both operations in single PyAV pipeline
+- Padded values needed for mixdown anyway (creating final MP3)
+
+Implementation: `main_multitrack_pipeline.py:_apply_audio_padding_streaming()`
+
+---
+
+## Whereby (SQS-based)
+
+Whereby uses **AWS SQS** (via S3 notifications) to notify Reflector when files are uploaded.
+
+### How It Works
+
+1. **Whereby uploads recording** to S3
+2. **S3 sends notification** to SQS queue (one notification per file)
+3. **Reflector polls SQS queue** (`worker/process.py:process_messages()`)
+4. **System processes single file** (`worker/process.py:process_recording()`)
+
+### Key Difference from Daily.co
+
+**Whereby (SQS):** System receives S3 notification "file X was created" - only knows about one file at a time, would need to scan folder to find related files
+
+**Daily.co (Webhook):** Daily explicitly tells system which files belong together in the webhook payload
+
+---
+
+

server/env.example

@@ -1,73 +0,0 @@
-#
-# This file serve as an example of possible configuration
-# All the settings are described here: reflector/settings.py
-#
-
-## =======================================================
-## User authentication
-## =======================================================
-
-## Using jwt/authentik
-AUTH_BACKEND=jwt
-AUTH_JWT_AUDIENCE=
-
-## =======================================================
-## Transcription backend
-##
-## Check reflector/processors/audio_transcript_* for the
-## full list of available transcription backend
-## =======================================================
-
-## Using local whisper
-#TRANSCRIPT_BACKEND=whisper
-
-## Using serverless modal.com (require reflector-gpu-modal deployed)
-#TRANSCRIPT_BACKEND=modal
-#TRANSCRIPT_URL=https://xxxxx--reflector-transcriber-web.modal.run
-#TRANSCRIPT_MODAL_API_KEY=xxxxx
-
-TRANSCRIPT_BACKEND=modal
-TRANSCRIPT_URL=https://monadical-sas--reflector-transcriber-parakeet-web.modal.run
-TRANSCRIPT_MODAL_API_KEY=
-
-## =======================================================
-## Translation backend
-##
-## Only available in modal atm
-## =======================================================
-TRANSLATION_BACKEND=modal
-TRANSLATE_URL=https://monadical-sas--reflector-translator-web.modal.run
-#TRANSLATION_MODAL_API_KEY=xxxxx
-
-## =======================================================
-## LLM backend
-##
-## Responsible for titles and short summary
-## Check reflector/llm/* for the full list of available
-## llm backend implementation
-## =======================================================
-
-## Context size for summary generation (tokens)
-# LLM_MODEL=microsoft/phi-4
-LLM_CONTEXT_WINDOW=16000
-LLM_URL=
-LLM_API_KEY=sk-
-
-## =======================================================
-## Diarization
-##
-## Only available on modal
-## To allow diarization, you need to expose expose the files to be dowloded by the pipeline
-## =======================================================
-DIARIZATION_ENABLED=false
-DIARIZATION_BACKEND=modal
-DIARIZATION_URL=https://monadical-sas--reflector-diarizer-web.modal.run
-#DIARIZATION_MODAL_API_KEY=xxxxx
-
-
-## =======================================================
-## Sentry
-## =======================================================
-
-## Sentry DSN configuration
-#SENTRY_DSN=

server/migrations/versions/05f8688d6895_add_action_items.py

@@ -0,0 +1,26 @@
+"""add_action_items
+
+Revision ID: 05f8688d6895
+Revises: bbafedfa510c
+Create Date: 2025-12-12 11:57:50.209658
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "05f8688d6895"
+down_revision: Union[str, None] = "bbafedfa510c"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    op.add_column("transcript", sa.Column("action_items", sa.JSON(), nullable=True))
+
+
+def downgrade() -> None:
+    op.drop_column("transcript", "action_items")

server/migrations/versions/0f943fede0e0_add_workflow_run_id_to_transcript.py

@@ -0,0 +1,28 @@
+"""add workflow_run_id to transcript
+
+Revision ID: 0f943fede0e0
+Revises: 20251217000000
+Create Date: 2025-12-16 01:54:13.855106
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "0f943fede0e0"
+down_revision: Union[str, None] = "20251217000000"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("transcript", schema=None) as batch_op:
+        batch_op.add_column(sa.Column("workflow_run_id", sa.String(), nullable=True))
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("transcript", schema=None) as batch_op:
+        batch_op.drop_column("workflow_run_id")

server/migrations/versions/1b1e6a6fc465_add_cloud_recording_support.py

@@ -0,0 +1,40 @@
+"""add cloud recording support
+
+Revision ID: 1b1e6a6fc465
+Revises: bd3a729bb379
+Create Date: 2026-01-09 17:17:33.535620
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "1b1e6a6fc465"
+down_revision: Union[str, None] = "bd3a729bb379"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("meeting", schema=None) as batch_op:
+        batch_op.add_column(
+            sa.Column("daily_composed_video_s3_key", sa.String(), nullable=True)
+        )
+        batch_op.add_column(
+            sa.Column("daily_composed_video_duration", sa.Integer(), nullable=True)
+        )
+
+    # ### end Alembic commands ###
+
+
+def downgrade() -> None:
+    # ### commands auto generated by Alembic - please adjust! ###
+    with op.batch_alter_table("meeting", schema=None) as batch_op:
+        batch_op.drop_column("daily_composed_video_duration")
+        batch_op.drop_column("daily_composed_video_s3_key")
+
+    # ### end Alembic commands ###

server/migrations/versions/1e49625677e4_add_platform_support.py

@@ -0,0 +1,50 @@
+"""add_platform_support
+
+Revision ID: 1e49625677e4
+Revises: 9e3f7b2a4c8e
+Create Date: 2025-10-08 13:17:29.943612
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "1e49625677e4"
+down_revision: Union[str, None] = "9e3f7b2a4c8e"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    """Add platform field with default 'whereby' for backward compatibility."""
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.add_column(
+            sa.Column(
+                "platform",
+                sa.String(),
+                nullable=True,
+                server_default=None,
+            )
+        )
+
+    with op.batch_alter_table("meeting", schema=None) as batch_op:
+        batch_op.add_column(
+            sa.Column(
+                "platform",
+                sa.String(),
+                nullable=False,
+                server_default="whereby",
+            )
+        )
+
+
+def downgrade() -> None:
+    """Remove platform field."""
+    with op.batch_alter_table("meeting", schema=None) as batch_op:
+        batch_op.drop_column("platform")
+
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.drop_column("platform")

server/migrations/versions/20251217000000_add_skip_consent_to_room.py

@@ -0,0 +1,35 @@
+"""add skip_consent to room
+
+Revision ID: 20251217000000
+Revises: 05f8688d6895
+Create Date: 2025-12-17 00:00:00.000000
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "20251217000000"
+down_revision: Union[str, None] = "05f8688d6895"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.add_column(
+            sa.Column(
+                "skip_consent",
+                sa.Boolean(),
+                nullable=False,
+                server_default=sa.text("false"),
+            )
+        )
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.drop_column("skip_consent")

server/migrations/versions/2b92a1b03caa_add_daily_participant_session_table_.py

@@ -0,0 +1,79 @@
+"""add daily participant session table with immutable left_at
+
+Revision ID: 2b92a1b03caa
+Revises: f8294b31f022
+Create Date: 2025-11-13 20:29:30.486577
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "2b92a1b03caa"
+down_revision: Union[str, None] = "f8294b31f022"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    # Create table
+    op.create_table(
+        "daily_participant_session",
+        sa.Column("id", sa.String(), nullable=False),
+        sa.Column("meeting_id", sa.String(), nullable=False),
+        sa.Column("room_id", sa.String(), nullable=False),
+        sa.Column("session_id", sa.String(), nullable=False),
+        sa.Column("user_id", sa.String(), nullable=True),
+        sa.Column("user_name", sa.String(), nullable=False),
+        sa.Column("joined_at", sa.DateTime(timezone=True), nullable=False),
+        sa.Column("left_at", sa.DateTime(timezone=True), nullable=True),
+        sa.ForeignKeyConstraint(["meeting_id"], ["meeting.id"], ondelete="CASCADE"),
+        sa.ForeignKeyConstraint(["room_id"], ["room.id"], ondelete="CASCADE"),
+        sa.PrimaryKeyConstraint("id"),
+    )
+    with op.batch_alter_table("daily_participant_session", schema=None) as batch_op:
+        batch_op.create_index(
+            "idx_daily_session_meeting_left", ["meeting_id", "left_at"], unique=False
+        )
+        batch_op.create_index("idx_daily_session_room", ["room_id"], unique=False)
+
+    # Create trigger function to prevent left_at from being updated once set
+    op.execute("""
+        CREATE OR REPLACE FUNCTION prevent_left_at_update()
+        RETURNS TRIGGER AS $$
+        BEGIN
+            IF OLD.left_at IS NOT NULL THEN
+                RAISE EXCEPTION 'left_at is immutable once set';
+            END IF;
+            RETURN NEW;
+        END;
+        $$ LANGUAGE plpgsql;
+    """)
+
+    # Create trigger
+    op.execute("""
+        CREATE TRIGGER prevent_left_at_update_trigger
+        BEFORE UPDATE ON daily_participant_session
+        FOR EACH ROW
+        EXECUTE FUNCTION prevent_left_at_update();
+    """)
+
+
+def downgrade() -> None:
+    # Drop trigger
+    op.execute(
+        "DROP TRIGGER IF EXISTS prevent_left_at_update_trigger ON daily_participant_session;"
+    )
+
+    # Drop trigger function
+    op.execute("DROP FUNCTION IF EXISTS prevent_left_at_update();")
+
+    # Drop indexes and table
+    with op.batch_alter_table("daily_participant_session", schema=None) as batch_op:
+        batch_op.drop_index("idx_daily_session_room")
+        batch_op.drop_index("idx_daily_session_meeting_left")
+
+    op.drop_table("daily_participant_session")

server/migrations/versions/5d6b9df9b045_make_room_platform_non_nullable_with_.py

@@ -0,0 +1,30 @@
+"""Make room platform non-nullable with dynamic default
+
+Revision ID: 5d6b9df9b045
+Revises: 2b92a1b03caa
+Create Date: 2025-11-21 13:22:25.756584
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "5d6b9df9b045"
+down_revision: Union[str, None] = "2b92a1b03caa"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    op.execute("UPDATE room SET platform = 'whereby' WHERE platform IS NULL")
+
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.alter_column("platform", existing_type=sa.String(), nullable=False)
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.alter_column("platform", existing_type=sa.String(), nullable=True)

server/migrations/versions/80beb1ea3269_replace_use_hatchet_with_use_celery.py

@@ -0,0 +1,44 @@
+"""replace_use_hatchet_with_use_celery
+
+Revision ID: 80beb1ea3269
+Revises: bd3a729bb379
+Create Date: 2026-01-20 16:26:25.555869
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "80beb1ea3269"
+down_revision: Union[str, None] = "bd3a729bb379"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.add_column(
+            sa.Column(
+                "use_celery",
+                sa.Boolean(),
+                server_default=sa.text("false"),
+                nullable=False,
+            )
+        )
+        batch_op.drop_column("use_hatchet")
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.add_column(
+            sa.Column(
+                "use_hatchet",
+                sa.Boolean(),
+                server_default=sa.text("false"),
+                nullable=False,
+            )
+        )
+        batch_op.drop_column("use_celery")

server/migrations/versions/bbafedfa510c_add_user_table.py

@@ -0,0 +1,38 @@
+"""add user table
+
+Revision ID: bbafedfa510c
+Revises: 5d6b9df9b045
+Create Date: 2025-11-19 21:06:30.543262
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "bbafedfa510c"
+down_revision: Union[str, None] = "5d6b9df9b045"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    op.create_table(
+        "user",
+        sa.Column("id", sa.String(), nullable=False),
+        sa.Column("email", sa.String(), nullable=False),
+        sa.Column("authentik_uid", sa.String(), nullable=False),
+        sa.Column("created_at", sa.DateTime(timezone=True), nullable=False),
+        sa.Column("updated_at", sa.DateTime(timezone=True), nullable=False),
+        sa.PrimaryKeyConstraint("id"),
+    )
+
+    with op.batch_alter_table("user", schema=None) as batch_op:
+        batch_op.create_index("idx_user_authentik_uid", ["authentik_uid"], unique=True)
+        batch_op.create_index("idx_user_email", ["email"], unique=False)
+
+
+def downgrade() -> None:
+    op.drop_table("user")

server/migrations/versions/bd3a729bb379_add_use_hatchet_to_room.py

@@ -0,0 +1,35 @@
+"""add use_hatchet to room
+
+Revision ID: bd3a729bb379
+Revises: 0f943fede0e0
+Create Date: 2025-12-16 16:34:03.594231
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "bd3a729bb379"
+down_revision: Union[str, None] = "0f943fede0e0"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.add_column(
+            sa.Column(
+                "use_hatchet",
+                sa.Boolean(),
+                server_default=sa.text("false"),
+                nullable=False,
+            )
+        )
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("room", schema=None) as batch_op:
+        batch_op.drop_column("use_hatchet")

server/migrations/versions/e69f08ead8ea_merge_cloud_recording_and_celery_heads.py

@@ -0,0 +1,23 @@
+"""merge cloud recording and celery heads
+
+Revision ID: e69f08ead8ea
+Revises: 1b1e6a6fc465, 80beb1ea3269
+Create Date: 2026-01-21 21:39:10.326841
+
+"""
+
+from typing import Sequence, Union
+
+# revision identifiers, used by Alembic.
+revision: str = "e69f08ead8ea"
+down_revision: Union[str, None] = ("1b1e6a6fc465", "80beb1ea3269")
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    pass
+
+
+def downgrade() -> None:
+    pass

server/migrations/versions/f8294b31f022_add_track_keys.py

@@ -0,0 +1,28 @@
+"""add_track_keys
+
+Revision ID: f8294b31f022
+Revises: 1e49625677e4
+Create Date: 2025-10-27 18:52:17.589167
+
+"""
+
+from typing import Sequence, Union
+
+import sqlalchemy as sa
+from alembic import op
+
+# revision identifiers, used by Alembic.
+revision: str = "f8294b31f022"
+down_revision: Union[str, None] = "1e49625677e4"
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    with op.batch_alter_table("recording", schema=None) as batch_op:
+        batch_op.add_column(sa.Column("track_keys", sa.JSON(), nullable=True))
+
+
+def downgrade() -> None:
+    with op.batch_alter_table("recording", schema=None) as batch_op:
+        batch_op.drop_column("track_keys")

server/pyproject.toml

@@ -8,7 +8,7 @@ readme = "README.md"
 dependencies = [
     "aiohttp>=3.9.0",
     "aiohttp-cors>=0.7.0",
-    "av>=10.0.0",
+    "av>=15.0.0",
     "requests>=2.31.0",
     "aiortc>=1.5.0",
     "sortedcontainers>=2.4.0",
@@ -39,6 +39,7 @@ dependencies = [
     "pytest-env>=1.1.5",
     "webvtt-py>=0.5.0",
     "icalendar>=6.0.0",
+    "hatchet-sdk>=0.47.0",
 ]
 
 [dependency-groups]
@@ -126,6 +127,7 @@ markers = [
 select = [
     "I",       # isort - import sorting
     "F401",    # unused imports
+    "E402",    # module level import not at top of file
     "PLC0415", # import-outside-top-level - detect inline imports
 ]
 

server/reflector/app.py

@@ -12,6 +12,7 @@ from reflector.events import subscribers_shutdown, subscribers_startup
 from reflector.logger import logger
 from reflector.metrics import metrics_init
 from reflector.settings import settings
+from reflector.views.daily import router as daily_router
 from reflector.views.meetings import router as meetings_router
 from reflector.views.rooms import router as rooms_router
 from reflector.views.rtc_offer import router as rtc_offer_router
@@ -96,6 +97,7 @@ app.include_router(user_api_keys_router, prefix="/v1")
 app.include_router(user_ws_router, prefix="/v1")
 app.include_router(zulip_router, prefix="/v1")
 app.include_router(whereby_router, prefix="/v1")
+app.include_router(daily_router, prefix="/v1/daily")
 add_pagination(app)
 
 # prepare celery

server/reflector/asynctask.py

@@ -1,13 +1,19 @@
 import asyncio
 import functools
+from uuid import uuid4
+
+from celery import current_task
 
 from reflector.db import get_database
+from reflector.llm import llm_session_id
 
 
 def asynctask(f):
     @functools.wraps(f)
     def wrapper(*args, **kwargs):
         async def run_with_db():
+            task_id = current_task.request.id if current_task else None
+            llm_session_id.set(task_id or f"random-{uuid4().hex}")
             database = get_database()
             await database.connect()
             try:

server/reflector/auth/auth_jwt.py

@@ -6,8 +6,10 @@ from jose import JWTError, jwt
 from pydantic import BaseModel
 
 from reflector.db.user_api_keys import user_api_keys_controller
+from reflector.db.users import user_controller
 from reflector.logger import logger
 from reflector.settings import settings
+from reflector.utils import generate_uuid4
 
 oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token", auto_error=False)
 api_key_header = APIKeyHeader(name="X-API-Key", auto_error=False)
@@ -74,9 +76,21 @@ async def _authenticate_user(
     if jwt_token:
         try:
             payload = jwtauth.verify_token(jwt_token)
-            sub = payload["sub"]
+            authentik_uid = payload["sub"]
             email = payload["email"]
-            user_infos.append(UserInfo(sub=sub, email=email))
+
+            user = await user_controller.get_by_authentik_uid(authentik_uid)
+            if not user:
+                logger.info(
+                    f"Creating new user on first login: {authentik_uid} ({email})"
+                )
+                user = await user_controller.create_or_update(
+                    id=generate_uuid4(),
+                    authentik_uid=authentik_uid,
+                    email=email,
+                )
+
+            user_infos.append(UserInfo(sub=user.id, email=email))
         except JWTError as e:
             logger.error(f"JWT error: {e}")
             raise HTTPException(status_code=401, detail="Invalid authentication")

server/reflector/dailyco_api/README.md

@@ -0,0 +1,6 @@
+anything about Daily.co api interaction
+
+- webhook event shapes
+- REST api client
+
+No REST api client existing found in the wild; the official lib is about working with videocall as a bot

server/reflector/dailyco_api/__init__.py

@@ -0,0 +1,111 @@
+"""
+Daily.co API Module
+"""
+
+# Client
+from .client import DailyApiClient, DailyApiError, RecordingType
+
+# Request models
+from .requests import (
+    CreateMeetingTokenRequest,
+    CreateRoomRequest,
+    CreateWebhookRequest,
+    MeetingTokenProperties,
+    RecordingsBucketConfig,
+    RoomProperties,
+    UpdateWebhookRequest,
+)
+
+# Response models
+from .responses import (
+    FinishedRecordingResponse,
+    MeetingParticipant,
+    MeetingParticipantsResponse,
+    MeetingResponse,
+    MeetingTokenResponse,
+    RecordingResponse,
+    RecordingS3Info,
+    RoomPresenceParticipant,
+    RoomPresenceResponse,
+    RoomResponse,
+    WebhookResponse,
+)
+
+# Webhook utilities
+from .webhook_utils import (
+    extract_room_name,
+    parse_participant_joined,
+    parse_participant_left,
+    parse_recording_error,
+    parse_recording_ready,
+    parse_recording_started,
+    parse_webhook_payload,
+    verify_webhook_signature,
+)
+
+# Webhook models
+from .webhooks import (
+    DailyTrack,
+    DailyWebhookEvent,
+    DailyWebhookEventUnion,
+    ParticipantJoinedEvent,
+    ParticipantJoinedPayload,
+    ParticipantLeftEvent,
+    ParticipantLeftPayload,
+    RecordingErrorEvent,
+    RecordingErrorPayload,
+    RecordingReadyEvent,
+    RecordingReadyToDownloadPayload,
+    RecordingStartedEvent,
+    RecordingStartedPayload,
+)
+
+__all__ = [
+    # Client
+    "DailyApiClient",
+    "DailyApiError",
+    "RecordingType",
+    # Requests
+    "CreateRoomRequest",
+    "RoomProperties",
+    "RecordingsBucketConfig",
+    "CreateMeetingTokenRequest",
+    "MeetingTokenProperties",
+    "CreateWebhookRequest",
+    "UpdateWebhookRequest",
+    # Responses
+    "RoomResponse",
+    "RoomPresenceResponse",
+    "RoomPresenceParticipant",
+    "MeetingParticipantsResponse",
+    "MeetingParticipant",
+    "MeetingResponse",
+    "RecordingResponse",
+    "FinishedRecordingResponse",
+    "RecordingS3Info",
+    "MeetingTokenResponse",
+    "WebhookResponse",
+    # Webhooks
+    "DailyWebhookEvent",
+    "DailyWebhookEventUnion",
+    "DailyTrack",
+    "ParticipantJoinedEvent",
+    "ParticipantJoinedPayload",
+    "ParticipantLeftEvent",
+    "ParticipantLeftPayload",
+    "RecordingStartedEvent",
+    "RecordingStartedPayload",
+    "RecordingReadyEvent",
+    "RecordingReadyToDownloadPayload",
+    "RecordingErrorEvent",
+    "RecordingErrorPayload",
+    # Webhook utilities
+    "verify_webhook_signature",
+    "extract_room_name",
+    "parse_webhook_payload",
+    "parse_participant_joined",
+    "parse_participant_left",
+    "parse_recording_started",
+    "parse_recording_ready",
+    "parse_recording_error",
+]

server/reflector/dailyco_api/client.py

@@ -0,0 +1,608 @@
+"""
+Daily.co API Client
+
+Complete async client for Daily.co REST API with Pydantic models.
+
+Reference: https://docs.daily.co/reference/rest-api
+"""
+
+from http import HTTPStatus
+from typing import Any, Literal
+from uuid import UUID
+
+import httpx
+import structlog
+
+from reflector.utils.string import NonEmptyString
+
+from .requests import (
+    CreateMeetingTokenRequest,
+    CreateRoomRequest,
+    CreateWebhookRequest,
+    UpdateWebhookRequest,
+)
+from .responses import (
+    MeetingParticipantsResponse,
+    MeetingResponse,
+    MeetingTokenResponse,
+    RecordingResponse,
+    RoomPresenceResponse,
+    RoomResponse,
+    WebhookResponse,
+)
+
+logger = structlog.get_logger(__name__)
+
+RecordingType = Literal["cloud", "raw-tracks"]
+
+
+class DailyApiError(Exception):
+    """Daily.co API error with full request/response context."""
+
+    def __init__(self, operation: str, response: httpx.Response):
+        self.operation = operation
+        self.response = response
+        self.status_code = response.status_code
+        self.response_body = response.text
+        self.url = str(response.url)
+        self.request_body = (
+            response.request.content.decode() if response.request.content else None
+        )
+
+        super().__init__(
+            f"Daily.co API error: {operation} failed with status {self.status_code}: {response.text}"
+        )
+
+
+class DailyApiClient:
+    """
+    Complete async client for Daily.co REST API.
+
+    Usage:
+        # Direct usage
+        client = DailyApiClient(api_key="your_api_key")
+        room = await client.create_room(CreateRoomRequest(name="my-room"))
+        await client.close()  # Clean up when done
+
+        # Context manager (recommended)
+        async with DailyApiClient(api_key="your_api_key") as client:
+            room = await client.create_room(CreateRoomRequest(name="my-room"))
+    """
+
+    BASE_URL = "https://api.daily.co/v1"
+    DEFAULT_TIMEOUT = 10.0
+
+    def __init__(
+        self,
+        api_key: NonEmptyString,
+        webhook_secret: NonEmptyString | None = None,
+        timeout: float = DEFAULT_TIMEOUT,
+        base_url: NonEmptyString | None = None,
+    ):
+        """
+        Initialize Daily.co API client.
+
+        Args:
+            api_key: Daily.co API key (Bearer token)
+            webhook_secret: Base64-encoded HMAC secret for webhook verification.
+                Must match the 'hmac' value provided when creating webhooks.
+                Generate with: base64.b64encode(os.urandom(32)).decode()
+            timeout: Default request timeout in seconds
+            base_url: Override base URL (for testing)
+        """
+        self.api_key = api_key
+        self.webhook_secret = webhook_secret
+        self.timeout = timeout
+        self.base_url = base_url or self.BASE_URL
+
+        self.headers = {
+            "Authorization": f"Bearer {api_key}",
+            "Content-Type": "application/json",
+        }
+
+        self._client: httpx.AsyncClient | None = None
+
+    async def __aenter__(self):
+        return self
+
+    async def __aexit__(self, exc_type, exc_val, exc_tb):
+        await self.close()
+
+    async def _get_client(self) -> httpx.AsyncClient:
+        if self._client is None:
+            self._client = httpx.AsyncClient(timeout=self.timeout)
+        return self._client
+
+    async def close(self):
+        if self._client is not None:
+            await self._client.aclose()
+            self._client = None
+
+    async def _handle_response(
+        self, response: httpx.Response, operation: str
+    ) -> dict[str, Any]:
+        """
+        Handle API response with error logging.
+
+        Args:
+            response: HTTP response
+            operation: Operation name for logging (e.g., "create_room")
+
+        Returns:
+            Parsed JSON response
+
+        Raises:
+            DailyApiError: If request failed with full context
+        """
+        if response.status_code >= 400:
+            logger.error(
+                f"Daily.co API error: {operation}",
+                status_code=response.status_code,
+                response_body=response.text,
+                request_body=response.request.content.decode()
+                if response.request.content
+                else None,
+                url=str(response.url),
+            )
+            raise DailyApiError(operation, response)
+
+        return response.json()
+
+    # ============================================================================
+    # ROOMS
+    # ============================================================================
+
+    async def create_room(self, request: CreateRoomRequest) -> RoomResponse:
+        """
+        Create a new Daily.co room.
+
+        Reference: https://docs.daily.co/reference/rest-api/rooms/create-room
+
+        Args:
+            request: Room creation request with name, privacy, and properties
+
+        Returns:
+            Created room data including URL and ID
+
+        Raises:
+            httpx.HTTPStatusError: If API request fails
+        """
+        client = await self._get_client()
+        response = await client.post(
+            f"{self.base_url}/rooms",
+            headers=self.headers,
+            json=request.model_dump(exclude_none=True),
+        )
+
+        data = await self._handle_response(response, "create_room")
+        return RoomResponse(**data)
+
+    async def get_room(self, room_name: NonEmptyString) -> RoomResponse:
+        """
+        Get room configuration.
+
+        Args:
+            room_name: Daily.co room name
+
+        Returns:
+            Room configuration data
+
+        Raises:
+            httpx.HTTPStatusError: If API request fails
+        """
+        client = await self._get_client()
+        response = await client.get(
+            f"{self.base_url}/rooms/{room_name}",
+            headers=self.headers,
+        )
+
+        data = await self._handle_response(response, "get_room")
+        return RoomResponse(**data)
+
+    async def get_room_presence(
+        self, room_name: NonEmptyString
+    ) -> RoomPresenceResponse:
+        """
+        Get current participants in a room (real-time presence).
+
+        Reference: https://docs.daily.co/reference/rest-api/rooms/get-room-presence
+
+        Args:
+            room_name: Daily.co room name
+
+        Returns:
+            List of currently present participants with join time and duration
+
+        Raises:
+            httpx.HTTPStatusError: If API request fails
+        """
+        client = await self._get_client()
+        response = await client.get(
+            f"{self.base_url}/rooms/{room_name}/presence",
+            headers=self.headers,
+        )
+
+        data = await self._handle_response(response, "get_room_presence")
+        return RoomPresenceResponse(**data)
+
+    async def delete_room(self, room_name: NonEmptyString) -> None:
+        """
+        Delete a room (idempotent - succeeds even if room doesn't exist).
+
+        Reference: https://docs.daily.co/reference/rest-api/rooms/delete-room
+
+        Args:
+            room_name: Daily.co room name
+
+        Raises:
+            httpx.HTTPStatusError: If API request fails (except 404)
+        """
+        client = await self._get_client()
+        response = await client.delete(
+            f"{self.base_url}/rooms/{room_name}",
+            headers=self.headers,
+        )
+
+        # Idempotent delete - 404 means already deleted
+        if response.status_code == HTTPStatus.NOT_FOUND:
+            logger.debug("Room not found (already deleted)", room_name=room_name)
+            return
+
+        await self._handle_response(response, "delete_room")
+
+    # ============================================================================
+    # MEETINGS
+    # ============================================================================
+
+    async def get_meeting(self, meeting_id: NonEmptyString) -> MeetingResponse:
+        """
+        Get full meeting information including participants.
+
+        Reference: https://docs.daily.co/reference/rest-api/meetings/get-meeting-information
+
+        Args:
+            meeting_id: Daily.co meeting/session ID
+
+        Returns:
+            Meeting metadata including room, duration, participants, and status
+
+        Raises:
+            httpx.HTTPStatusError: If API request fails
+        """
+        client = await self._get_client()
+        response = await client.get(
+            f"{self.base_url}/meetings/{meeting_id}",
+            headers=self.headers,
+        )
+
+        data = await self._handle_response(response, "get_meeting")
+        return MeetingResponse(**data)
+
+    async def get_meeting_participants(
+        self,
+        meeting_id: NonEmptyString,
+        limit: int | None = None,
+        joined_after: NonEmptyString | None = None,
+        joined_before: NonEmptyString | None = None,
+    ) -> MeetingParticipantsResponse:
+        """
+        Get historical participant data from a completed meeting (paginated).
+
+        Reference: https://docs.daily.co/reference/rest-api/meetings/get-meeting-participants
+
+        Args:
+            meeting_id: Daily.co meeting/session ID
+            limit: Maximum number of participant records to return
+            joined_after: Return participants who joined after this participant_id
+            joined_before: Return participants who joined before this participant_id
+
+        Returns:
+            List of participants with join times and duration
+
+        Raises:
+            httpx.HTTPStatusError: If API request fails (404 when no more participants)
+
+        Note:
+            For pagination, use joined_after with the last participant_id from previous response.
+            Returns 404 when no more participants remain.
+        """
+        params = {}
+        if limit is not None:
+            params["limit"] = limit
+        if joined_after is not None:
+            params["joined_after"] = joined_after
+        if joined_before is not None:
+            params["joined_before"] = joined_before
+
+        client = await self._get_client()
+        response = await client.get(
+            f"{self.base_url}/meetings/{meeting_id}/participants",
+            headers=self.headers,
+            params=params,
+        )
+
+        data = await self._handle_response(response, "get_meeting_participants")
+        return MeetingParticipantsResponse(**data)
+
+    # ============================================================================
+    # RECORDINGS
+    # ============================================================================
+
+    async def get_recording(self, recording_id: NonEmptyString) -> RecordingResponse:
+        """
+        https://docs.daily.co/reference/rest-api/recordings/get-recording-information
+        Get recording metadata and status.
+        """
+        client = await self._get_client()
+        response = await client.get(
+            f"{self.base_url}/recordings/{recording_id}",
+            headers=self.headers,
+        )
+
+        data = await self._handle_response(response, "get_recording")
+        return RecordingResponse(**data)
+
+    async def list_recordings(
+        self,
+        room_name: NonEmptyString | None = None,
+        starting_after: str | None = None,
+        ending_before: str | None = None,
+        limit: int = 100,
+    ) -> list[RecordingResponse]:
+        """
+        List recordings with optional filters.
+
+        Reference: https://docs.daily.co/reference/rest-api/recordings
+
+        Args:
+            room_name: Filter by room name
+            starting_after: Pagination cursor - recording ID to start after
+            ending_before: Pagination cursor - recording ID to end before
+            limit: Max results per page (default 100, max 100)
+
+        Note: starting_after/ending_before are pagination cursors (recording IDs),
+        NOT time filters. API returns recordings in reverse chronological order.
+        """
+        client = await self._get_client()
+
+        params = {"limit": limit}
+        if room_name:
+            params["room_name"] = room_name
+        if starting_after:
+            params["starting_after"] = starting_after
+        if ending_before:
+            params["ending_before"] = ending_before
+
+        response = await client.get(
+            f"{self.base_url}/recordings",
+            headers=self.headers,
+            params=params,
+        )
+
+        data = await self._handle_response(response, "list_recordings")
+
+        if not isinstance(data, dict) or "data" not in data:
+            logger.error(
+                "Daily.co API returned unexpected format for list_recordings",
+                data_type=type(data).__name__,
+                data_keys=list(data.keys()) if isinstance(data, dict) else None,
+                data_sample=str(data)[:500],
+                room_name=room_name,
+                operation="list_recordings",
+            )
+            raise httpx.HTTPStatusError(
+                message=f"Unexpected response format from list_recordings: {type(data).__name__}",
+                request=response.request,
+                response=response,
+            )
+
+        return [RecordingResponse(**r) for r in data["data"]]
+
+    async def start_recording(
+        self,
+        room_name: NonEmptyString,
+        recording_type: RecordingType,
+        instance_id: UUID,
+    ) -> dict[str, Any]:
+        """Start recording via REST API.
+
+        Reference: https://docs.daily.co/reference/rest-api/rooms/recordings/start
+
+        Args:
+            room_name: Daily.co room name
+            recording_type: Recording type
+            instance_id: UUID for this recording session
+
+        Returns:
+            Recording start confirmation from Daily.co API
+
+        Raises:
+            DailyApiError: If API request fails
+        """
+        client = await self._get_client()
+        response = await client.post(
+            f"{self.base_url}/rooms/{room_name}/recordings/start",
+            headers=self.headers,
+            json={
+                "type": recording_type,
+                "instanceId": str(instance_id),
+            },
+        )
+        return await self._handle_response(response, "start_recording")
+
+    # ============================================================================
+    # MEETING TOKENS
+    # ============================================================================
+
+    async def create_meeting_token(
+        self, request: CreateMeetingTokenRequest
+    ) -> MeetingTokenResponse:
+        """
+        Create a meeting token for participant authentication.
+
+        Reference: https://docs.daily.co/reference/rest-api/meeting-tokens/create-meeting-token
+
+        Args:
+            request: Token properties including room name, user_id, permissions
+
+        Returns:
+            JWT meeting token
+
+        Raises:
+            httpx.HTTPStatusError: If API request fails
+        """
+        client = await self._get_client()
+        response = await client.post(
+            f"{self.base_url}/meeting-tokens",
+            headers=self.headers,
+            json=request.model_dump(exclude_none=True),
+        )
+
+        data = await self._handle_response(response, "create_meeting_token")
+        return MeetingTokenResponse(**data)
+
+    # ============================================================================
+    # WEBHOOKS
+    # ============================================================================
+
+    async def list_webhooks(self) -> list[WebhookResponse]:
+        """
+        List all configured webhooks for this account.
+
+        Reference: https://docs.daily.co/reference/rest-api/webhooks
+
+        Returns:
+            List of webhook configurations
+
+        Raises:
+            httpx.HTTPStatusError: If API request fails
+        """
+        client = await self._get_client()
+        response = await client.get(
+            f"{self.base_url}/webhooks",
+            headers=self.headers,
+        )
+
+        data = await self._handle_response(response, "list_webhooks")
+
+        # Daily.co returns array directly (not paginated)
+        if isinstance(data, list):
+            return [WebhookResponse(**wh) for wh in data]
+
+        # Future-proof: handle potential pagination envelope
+        if isinstance(data, dict) and "data" in data:
+            return [WebhookResponse(**wh) for wh in data["data"]]
+
+        logger.warning("Unexpected webhook list response format", data=data)
+        return []
+
+    async def create_webhook(self, request: CreateWebhookRequest) -> WebhookResponse:
+        """
+        Create a new webhook subscription.
+
+        Reference: https://docs.daily.co/reference/rest-api/webhooks
+
+        Args:
+            request: Webhook configuration with URL, event types, and HMAC secret
+
+        Returns:
+            Created webhook with UUID and state
+
+        Raises:
+            httpx.HTTPStatusError: If API request fails
+        """
+        client = await self._get_client()
+        response = await client.post(
+            f"{self.base_url}/webhooks",
+            headers=self.headers,
+            json=request.model_dump(exclude_none=True),
+        )
+
+        data = await self._handle_response(response, "create_webhook")
+        return WebhookResponse(**data)
+
+    async def update_webhook(
+        self, webhook_uuid: NonEmptyString, request: UpdateWebhookRequest
+    ) -> WebhookResponse:
+        """
+        Update webhook configuration.
+
+        Note: Daily.co may not support PATCH for all fields.
+        Common pattern is delete + recreate.
+
+        Reference: https://docs.daily.co/reference/rest-api/webhooks
+
+        Args:
+            webhook_uuid: Webhook UUID to update
+            request: Updated webhook configuration
+
+        Returns:
+            Updated webhook configuration
+
+        Raises:
+            httpx.HTTPStatusError: If API request fails
+        """
+        client = await self._get_client()
+        response = await client.patch(
+            f"{self.base_url}/webhooks/{webhook_uuid}",
+            headers=self.headers,
+            json=request.model_dump(exclude_none=True),
+        )
+
+        data = await self._handle_response(response, "update_webhook")
+        return WebhookResponse(**data)
+
+    async def delete_webhook(self, webhook_uuid: NonEmptyString) -> None:
+        """
+        Delete a webhook.
+
+        Reference: https://docs.daily.co/reference/rest-api/webhooks
+
+        Args:
+            webhook_uuid: Webhook UUID to delete
+
+        Raises:
+            httpx.HTTPStatusError: If webhook not found or deletion fails
+        """
+        client = await self._get_client()
+        response = await client.delete(
+            f"{self.base_url}/webhooks/{webhook_uuid}",
+            headers=self.headers,
+        )
+
+        await self._handle_response(response, "delete_webhook")
+
+    # ============================================================================
+    # HELPER METHODS
+    # ============================================================================
+
+    async def find_webhook_by_url(self, url: NonEmptyString) -> WebhookResponse | None:
+        """
+        Find a webhook by its URL.
+
+        Args:
+            url: Webhook endpoint URL to search for
+
+        Returns:
+            Webhook if found, None otherwise
+        """
+        webhooks = await self.list_webhooks()
+        for webhook in webhooks:
+            if webhook.url == url:
+                return webhook
+        return None
+
+    async def find_webhooks_by_pattern(
+        self, pattern: NonEmptyString
+    ) -> list[WebhookResponse]:
+        """
+        Find webhooks matching a URL pattern (e.g., 'ngrok').
+
+        Args:
+            pattern: String to match in webhook URLs
+
+        Returns:
+            List of matching webhooks
+        """
+        webhooks = await self.list_webhooks()
+        return [wh for wh in webhooks if pattern in wh.url]

server/reflector/dailyco_api/instance_id.py

@@ -0,0 +1,37 @@
+"""
+Daily.co recording instanceId generation utilities.
+
+Deterministic instance ID generation for cloud and raw-tracks recordings.
+MUST match frontend logic
+"""
+
+from uuid import UUID, uuid5
+
+from reflector.utils.string import NonEmptyString
+
+# Namespace UUID for UUIDv5 generation of raw-tracks instanceIds
+# DO NOT CHANGE: Breaks instanceId determinism across deployments and frontend/backend matching
+RAW_TRACKS_NAMESPACE = UUID("a1b2c3d4-e5f6-7890-abcd-ef1234567890")
+
+
+def generate_cloud_instance_id(meeting_id: NonEmptyString) -> UUID:
+    """
+    Generate instanceId for cloud recording.
+
+    Cloud recordings use meeting ID directly as instanceId.
+    This ensures each meeting has one unique cloud recording.
+    """
+    return UUID(meeting_id)
+
+
+def generate_raw_tracks_instance_id(meeting_id: NonEmptyString) -> UUID:
+    """
+    Generate instanceId for raw-tracks recording.
+
+    Raw-tracks recordings use UUIDv5(meeting_id, namespace) to ensure
+    different instanceId from cloud while remaining deterministic.
+
+    Daily.co requires cloud and raw-tracks to have different instanceIds
+    for concurrent recording.
+    """
+    return uuid5(RAW_TRACKS_NAMESPACE, meeting_id)

server/reflector/dailyco_api/requests.py

@@ -0,0 +1,159 @@
+"""
+Daily.co API Request Models
+
+Reference: https://docs.daily.co/reference/rest-api
+"""
+
+from typing import List, Literal
+
+from pydantic import BaseModel, Field
+
+from reflector.utils.string import NonEmptyString
+
+
+class RecordingsBucketConfig(BaseModel):
+    """
+    S3 bucket configuration for raw-tracks recordings.
+
+    Reference: https://docs.daily.co/reference/rest-api/rooms/create-room
+    """
+
+    bucket_name: NonEmptyString = Field(description="S3 bucket name")
+    bucket_region: NonEmptyString = Field(description="AWS region (e.g., 'us-east-1')")
+    assume_role_arn: NonEmptyString = Field(
+        description="AWS IAM role ARN that Daily.co will assume to write recordings"
+    )
+    allow_api_access: bool = Field(
+        default=True,
+        description="Whether to allow API access to recording metadata",
+    )
+
+
+class RoomProperties(BaseModel):
+    """
+    Room configuration properties.
+    """
+
+    enable_recording: Literal["cloud", "local", "raw-tracks"] | None = Field(
+        default=None,
+        description="Recording mode: 'cloud' for mixed, 'local' for local recording, 'raw-tracks' for multitrack, None to disable",
+    )
+    enable_chat: bool = Field(default=True, description="Enable in-meeting chat")
+    enable_screenshare: bool = Field(default=True, description="Enable screen sharing")
+    enable_knocking: bool = Field(
+        default=False,
+        description="Enable knocking for private rooms (allows participants to request access)",
+    )
+    start_video_off: bool = Field(
+        default=False, description="Start with video off for all participants"
+    )
+    start_audio_off: bool = Field(
+        default=False, description="Start with audio muted for all participants"
+    )
+    exp: int | None = Field(
+        None, description="Room expiration timestamp (Unix epoch seconds)"
+    )
+    recordings_bucket: RecordingsBucketConfig | None = Field(
+        None, description="S3 bucket configuration for raw-tracks recordings"
+    )
+
+
+class CreateRoomRequest(BaseModel):
+    """
+    Request to create a new Daily.co room.
+
+    Reference: https://docs.daily.co/reference/rest-api/rooms/create-room
+    """
+
+    name: NonEmptyString = Field(description="Room name (must be unique within domain)")
+    privacy: Literal["public", "private"] = Field(
+        default="public", description="Room privacy setting"
+    )
+    properties: RoomProperties = Field(
+        default_factory=RoomProperties, description="Room configuration properties"
+    )
+
+
+class MeetingTokenProperties(BaseModel):
+    """
+    Properties for meeting token creation.
+
+    Reference: https://docs.daily.co/reference/rest-api/meeting-tokens/create-meeting-token
+    """
+
+    room_name: NonEmptyString = Field(description="Room name this token is valid for")
+    user_id: NonEmptyString | None = Field(
+        None, description="User identifier to associate with token"
+    )
+    is_owner: bool = Field(
+        default=False, description="Grant owner privileges to token holder"
+    )
+    enable_recording_ui: bool = Field(
+        default=True, description="Show recording controls in UI"
+    )
+    eject_at_token_exp: bool = Field(
+        default=False, description="Eject participant when token expires"
+    )
+    nbf: int | None = Field(
+        None, description="Not-before timestamp (Unix epoch seconds)"
+    )
+    exp: int | None = Field(
+        None, description="Expiration timestamp (Unix epoch seconds)"
+    )
+
+
+class CreateMeetingTokenRequest(BaseModel):
+    """
+    Request to create a meeting token for participant authentication.
+
+    Reference: https://docs.daily.co/reference/rest-api/meeting-tokens/create-meeting-token
+    """
+
+    properties: MeetingTokenProperties = Field(description="Token properties")
+
+
+class CreateWebhookRequest(BaseModel):
+    """
+    Request to create a webhook subscription.
+
+    Reference: https://docs.daily.co/reference/rest-api/webhooks
+    """
+
+    url: NonEmptyString = Field(description="Webhook endpoint URL (must be HTTPS)")
+    eventTypes: List[
+        Literal[
+            "participant.joined",
+            "participant.left",
+            "recording.started",
+            "recording.ready-to-download",
+            "recording.error",
+        ]
+    ] = Field(
+        description="Array of event types to subscribe to (only events we handle)"
+    )
+    hmac: NonEmptyString = Field(
+        description="Base64-encoded HMAC secret for webhook signature verification"
+    )
+    basicAuth: NonEmptyString | None = Field(
+        None, description="Optional basic auth credentials for webhook endpoint"
+    )
+
+
+class UpdateWebhookRequest(BaseModel):
+    """
+    Request to update an existing webhook.
+
+    Note: Daily.co API may not support PATCH for webhooks.
+    Common pattern is to delete and recreate.
+
+    Reference: https://docs.daily.co/reference/rest-api/webhooks
+    """
+
+    url: NonEmptyString | None = Field(None, description="New webhook endpoint URL")
+    eventTypes: List[NonEmptyString] | None = Field(
+        None, description="New array of event types"
+    )
+    hmac: NonEmptyString | None = Field(None, description="New HMAC secret")
+    basicAuth: NonEmptyString | None = Field(
+        None, description="New basic auth credentials"
+    )

server/reflector/dailyco_api/responses.py

@@ -0,0 +1,224 @@
+"""
+Daily.co API Response Models
+"""
+
+from typing import Any, Dict, List, Literal
+
+from pydantic import BaseModel, Field
+
+from reflector.dailyco_api.webhooks import DailyTrack
+from reflector.utils.string import NonEmptyString
+
+# not documented in daily; we fill it according to observations
+RecordingStatus = Literal["in-progress", "finished"]
+
+
+class RoomResponse(BaseModel):
+    """
+    Response from room creation or retrieval.
+
+    Reference: https://docs.daily.co/reference/rest-api/rooms/create-room
+    """
+
+    id: NonEmptyString = Field(description="Unique room identifier (UUID)")
+    name: NonEmptyString = Field(description="Room name used in URLs")
+    api_created: bool = Field(description="Whether room was created via API")
+    privacy: Literal["public", "private"] = Field(description="Room privacy setting")
+    url: NonEmptyString = Field(description="Full room URL")
+    created_at: NonEmptyString = Field(description="ISO 8601 creation timestamp")
+    config: Dict[NonEmptyString, Any] = Field(
+        default_factory=dict, description="Room configuration properties"
+    )
+
+
+class RoomPresenceParticipant(BaseModel):
+    """
+    Participant presence information in a room.
+
+    Reference: https://docs.daily.co/reference/rest-api/rooms/get-room-presence
+    """
+
+    room: NonEmptyString = Field(description="Room name")
+    id: NonEmptyString = Field(description="Participant session ID")
+    userId: NonEmptyString | None = Field(None, description="User ID if provided")
+    userName: NonEmptyString | None = Field(None, description="User display name")
+    joinTime: NonEmptyString = Field(description="ISO 8601 join timestamp")
+    duration: int = Field(description="Duration in room (seconds)")
+
+
+class RoomPresenceResponse(BaseModel):
+    """
+    Response from room presence endpoint.
+
+    Reference: https://docs.daily.co/reference/rest-api/rooms/get-room-presence
+    """
+
+    total_count: int = Field(
+        description="Total number of participants currently in room"
+    )
+    data: List[RoomPresenceParticipant] = Field(
+        default_factory=list, description="Array of participant presence data"
+    )
+
+
+class MeetingParticipant(BaseModel):
+    """
+    Historical participant data from a meeting.
+
+    Reference: https://docs.daily.co/reference/rest-api/meetings/get-meeting-participants
+    """
+
+    user_id: NonEmptyString | None = Field(None, description="User identifier")
+    participant_id: NonEmptyString = Field(description="Participant session identifier")
+    user_name: NonEmptyString | None = Field(None, description="User display name")
+    join_time: int = Field(description="Join timestamp (Unix epoch seconds)")
+    duration: int = Field(description="Duration in meeting (seconds)")
+
+
+class MeetingParticipantsResponse(BaseModel):
+    """
+    Response from meeting participants endpoint.
+
+    Reference: https://docs.daily.co/reference/rest-api/meetings/get-meeting-participants
+    """
+
+    data: List[MeetingParticipant] = Field(
+        default_factory=list, description="Array of participant data"
+    )
+
+
+class MeetingResponse(BaseModel):
+    """
+    Response from meeting information endpoint.
+
+    Reference: https://docs.daily.co/reference/rest-api/meetings/get-meeting-information
+    """
+
+    id: NonEmptyString = Field(description="Meeting session identifier (UUID)")
+    room: NonEmptyString = Field(description="Room name where meeting occurred")
+    start_time: int = Field(
+        description="Meeting start Unix timestamp (~15s granularity)"
+    )
+    duration: int = Field(description="Total meeting duration in seconds")
+    ongoing: bool = Field(description="Whether meeting is currently active")
+    max_participants: int = Field(description="Peak concurrent participant count")
+    participants: List[MeetingParticipant] = Field(
+        default_factory=list, description="Array of participant session data"
+    )
+
+
+class RecordingS3Info(BaseModel):
+    """
+    S3 bucket information for a recording.
+
+    Reference: https://docs.daily.co/reference/rest-api/recordings
+    """
+
+    bucket_name: NonEmptyString
+    bucket_region: NonEmptyString
+    key: NonEmptyString | None = None
+    endpoint: NonEmptyString | None = None
+
+
+class RecordingResponse(BaseModel):
+    """
+    Response from recording retrieval endpoint (network layer).
+
+    Duration may be None for recordings still being processed by Daily.
+    Use FinishedRecordingResponse for recordings ready for processing.
+
+    Reference: https://docs.daily.co/reference/rest-api/recordings
+    """
+
+    id: NonEmptyString = Field(description="Recording identifier")
+    room_name: NonEmptyString = Field(description="Room where recording occurred")
+    start_ts: int = Field(description="Recording start timestamp (Unix epoch seconds)")
+    type: Literal["cloud", "raw-tracks"] | None = Field(
+        None, description="Recording type (may be missing from API)"
+    )
+    status: RecordingStatus = Field(
+        description="Recording status ('in-progress' or 'finished')"
+    )
+    max_participants: int | None = Field(
+        None, description="Maximum participants during recording (may be missing)"
+    )
+    duration: int | None = Field(
+        None, description="Recording duration in seconds (None if still processing)"
+    )
+    share_token: NonEmptyString | None = Field(
+        None, description="Token for sharing recording"
+    )
+    s3: RecordingS3Info | None = Field(None, description="S3 bucket information")
+    s3key: NonEmptyString | None = Field(
+        None, description="S3 key for cloud recordings (top-level field)"
+    )
+    tracks: list[DailyTrack] = Field(
+        default_factory=list,
+        description="Track list for raw-tracks recordings (always array, never null)",
+    )
+    # this is not a mistake but a deliberate Daily.co naming decision
+    mtgSessionId: NonEmptyString | None = Field(
+        None, description="Meeting session identifier (may be missing)"
+    )
+
+    def to_finished(self) -> "FinishedRecordingResponse | None":
+        """Convert to FinishedRecordingResponse if duration is available and status is finished."""
+        if self.duration is None or self.status != "finished":
+            return None
+        return FinishedRecordingResponse(**self.model_dump())
+
+
+class FinishedRecordingResponse(RecordingResponse):
+    """
+    Recording with confirmed duration - ready for processing.
+
+    This model guarantees duration is present and status is finished.
+    """
+
+    status: Literal["finished"] = Field(
+        description="Recording status (always 'finished')"
+    )
+    duration: int = Field(description="Recording duration in seconds")
+
+
+class MeetingTokenResponse(BaseModel):
+    """
+    Response from meeting token creation.
+
+    Reference: https://docs.daily.co/reference/rest-api/meeting-tokens/create-meeting-token
+    """
+
+    token: NonEmptyString = Field(
+        description="JWT meeting token for participant authentication"
+    )
+
+
+class WebhookResponse(BaseModel):
+    """
+    Response from webhook creation or retrieval.
+
+    Reference: https://docs.daily.co/reference/rest-api/webhooks
+    """
+
+    uuid: NonEmptyString = Field(description="Unique webhook identifier")
+    url: NonEmptyString = Field(description="Webhook endpoint URL")
+    hmac: NonEmptyString | None = Field(
+        None, description="Base64-encoded HMAC secret for signature verification"
+    )
+    basicAuth: NonEmptyString | None = Field(
+        None, description="Basic auth credentials if configured"
+    )
+    eventTypes: List[NonEmptyString] = Field(
+        default_factory=list,
+        description="Array of event types (e.g., ['recording.started', 'participant.joined'])",
+    )
+    state: Literal["ACTIVE", "FAILED"] = Field(
+        description="Webhook state - FAILED after 3+ consecutive failures"
+    )
+    failedCount: int = Field(default=0, description="Number of consecutive failures")
+    lastMomentPushed: NonEmptyString | None = Field(
+        None, description="ISO 8601 timestamp of last successful push"
+    )
+    domainId: NonEmptyString = Field(description="Daily.co domain/account identifier")
+    createdAt: NonEmptyString = Field(description="ISO 8601 creation timestamp")
+    updatedAt: NonEmptyString = Field(description="ISO 8601 last update timestamp")

server/reflector/dailyco_api/webhook_utils.py

@@ -0,0 +1,228 @@
+"""
+Daily.co Webhook Utilities
+
+Utilities for verifying and parsing Daily.co webhook events.
+
+Reference: https://docs.daily.co/reference/rest-api/webhooks
+"""
+
+import base64
+import hmac
+from hashlib import sha256
+
+import structlog
+
+from .webhooks import (
+    DailyWebhookEvent,
+    ParticipantJoinedPayload,
+    ParticipantLeftPayload,
+    RecordingErrorPayload,
+    RecordingReadyToDownloadPayload,
+    RecordingStartedPayload,
+)
+
+logger = structlog.get_logger(__name__)
+
+
+def verify_webhook_signature(
+    body: bytes,
+    signature: str,
+    timestamp: str,
+    webhook_secret: str,
+) -> bool:
+    """
+    Verify Daily.co webhook signature using HMAC-SHA256.
+
+    Daily.co signature verification:
+    1. Base64-decode the webhook secret
+    2. Create signed content: timestamp + '.' + body
+    3. Compute HMAC-SHA256(secret, signed_content)
+    4. Base64-encode the result
+    5. Compare with provided signature using constant-time comparison
+
+    Reference: https://docs.daily.co/reference/rest-api/webhooks
+
+    Args:
+        body: Raw request body bytes
+        signature: X-Webhook-Signature header value
+        timestamp: X-Webhook-Timestamp header value
+        webhook_secret: Base64-encoded HMAC secret
+
+    Returns:
+        True if signature is valid, False otherwise
+
+    Example:
+        >>> body = b'{"version":"1.0.0","type":"participant.joined",...}'
+        >>> signature = "abc123..."
+        >>> timestamp = "1234567890"
+        >>> secret = "your-base64-secret"
+        >>> is_valid = verify_webhook_signature(body, signature, timestamp, secret)
+    """
+    if not signature or not timestamp or not webhook_secret:
+        logger.warning(
+            "Missing required data for webhook verification",
+            has_signature=bool(signature),
+            has_timestamp=bool(timestamp),
+            has_secret=bool(webhook_secret),
+        )
+        return False
+
+    try:
+        secret_bytes = base64.b64decode(webhook_secret)
+        signed_content = timestamp.encode() + b"." + body
+        expected = hmac.new(secret_bytes, signed_content, sha256).digest()
+        expected_b64 = base64.b64encode(expected).decode()
+
+        # Constant-time comparison to prevent timing attacks
+        return hmac.compare_digest(expected_b64, signature)
+
+    except (base64.binascii.Error, ValueError, TypeError, UnicodeDecodeError) as e:
+        logger.error(
+            "Webhook signature verification failed",
+            error=str(e),
+            error_type=type(e).__name__,
+        )
+        return False
+
+
+def extract_room_name(event: DailyWebhookEvent) -> str | None:
+    """
+    Extract room name from Daily.co webhook event payload.
+
+    Args:
+        event: Parsed webhook event
+
+    Returns:
+        Room name if present and is a string, None otherwise
+
+    Example:
+        >>> event = DailyWebhookEvent(**webhook_payload)
+        >>> room_name = extract_room_name(event)
+    """
+    room = event.payload.get("room_name")
+    # Ensure we return a string, not any falsy value that might be in payload
+    return room if isinstance(room, str) else None
+
+
+def parse_participant_joined(event: DailyWebhookEvent) -> ParticipantJoinedPayload:
+    """
+    Parse participant.joined webhook event payload.
+
+    Args:
+        event: Webhook event with type "participant.joined"
+
+    Returns:
+        Parsed participant joined payload
+
+    Raises:
+        pydantic.ValidationError: If payload doesn't match expected schema
+    """
+    return ParticipantJoinedPayload(**event.payload)
+
+
+def parse_participant_left(event: DailyWebhookEvent) -> ParticipantLeftPayload:
+    """
+    Parse participant.left webhook event payload.
+
+    Args:
+        event: Webhook event with type "participant.left"
+
+    Returns:
+        Parsed participant left payload
+
+    Raises:
+        pydantic.ValidationError: If payload doesn't match expected schema
+    """
+    return ParticipantLeftPayload(**event.payload)
+
+
+def parse_recording_started(event: DailyWebhookEvent) -> RecordingStartedPayload:
+    """
+    Parse recording.started webhook event payload.
+
+    Args:
+        event: Webhook event with type "recording.started"
+
+    Returns:
+        Parsed recording started payload
+
+    Raises:
+        pydantic.ValidationError: If payload doesn't match expected schema
+    """
+    return RecordingStartedPayload(**event.payload)
+
+
+def parse_recording_ready(
+    event: DailyWebhookEvent,
+) -> RecordingReadyToDownloadPayload:
+    """
+    Parse recording.ready-to-download webhook event payload.
+
+    This event is sent when raw-tracks recordings are complete and uploaded to S3.
+    The payload includes a 'tracks' array with individual audio/video files.
+
+    Args:
+        event: Webhook event with type "recording.ready-to-download"
+
+    Returns:
+        Parsed recording ready payload with tracks array
+
+    Raises:
+        pydantic.ValidationError: If payload doesn't match expected schema
+
+    Example:
+        >>> event = DailyWebhookEvent(**webhook_payload)
+        >>> if event.type == "recording.ready-to-download":
+        ...     payload = parse_recording_ready(event)
+        ...     audio_tracks = [t for t in payload.tracks if t.type == "audio"]
+    """
+    return RecordingReadyToDownloadPayload(**event.payload)
+
+
+def parse_recording_error(event: DailyWebhookEvent) -> RecordingErrorPayload:
+    """
+    Parse recording.error webhook event payload.
+
+    Args:
+        event: Webhook event with type "recording.error"
+
+    Returns:
+        Parsed recording error payload
+
+    Raises:
+        pydantic.ValidationError: If payload doesn't match expected schema
+    """
+    return RecordingErrorPayload(**event.payload)
+
+
+WEBHOOK_PARSERS = {
+    "participant.joined": parse_participant_joined,
+    "participant.left": parse_participant_left,
+    "recording.started": parse_recording_started,
+    "recording.ready-to-download": parse_recording_ready,
+    "recording.error": parse_recording_error,
+}
+
+
+def parse_webhook_payload(event: DailyWebhookEvent):
+    """
+    Parse webhook event payload based on event type.
+
+    Args:
+        event: Webhook event
+
+    Returns:
+        Typed payload model based on event type, or raw dict if unknown
+
+    Example:
+        >>> event = DailyWebhookEvent(**webhook_payload)
+        >>> payload = parse_webhook_payload(event)
+        >>> if isinstance(payload, ParticipantJoinedPayload):
+        ...     print(f"User {payload.user_name} joined")
+    """
+    parser = WEBHOOK_PARSERS.get(event.type)
+    if parser:
+        return parser(event)
+    else:
+        logger.warning("Unknown webhook event type", event_type=event.type)
+        return event.payload

server/reflector/dailyco_api/webhooks.py

@@ -0,0 +1,271 @@
+"""
+Daily.co Webhook Event Models
+
+Reference: https://docs.daily.co/reference/rest-api/webhooks
+"""
+
+from typing import Annotated, Any, Dict, Literal, Union
+
+from pydantic import BaseModel, Field, field_validator
+
+from reflector.utils.string import NonEmptyString
+
+
+def normalize_timestamp_to_int(v):
+    """
+    Normalize float timestamps to int by truncating decimal part.
+
+    Daily.co sometimes sends timestamps as floats (e.g., 1708972279.96).
+    Pydantic expects int for fields typed as `int`.
+    """
+    if v is None:
+        return v
+    if isinstance(v, float):
+        return int(v)
+    return v
+
+
+WebhookEventType = Literal[
+    "participant.joined",
+    "participant.left",
+    "recording.started",
+    "recording.ready-to-download",
+    "recording.error",
+]
+
+
+class DailyTrack(BaseModel):
+    """
+    Individual audio or video track from a multitrack recording.
+
+    Reference: https://docs.daily.co/reference/rest-api/recordings
+    """
+
+    type: Literal["audio", "video"]
+    s3Key: NonEmptyString = Field(description="S3 object key for the track file")
+    size: int = Field(description="File size in bytes")
+
+
+class DailyWebhookEvent(BaseModel):
+    """
+    Base structure for all Daily.co webhook events.
+    All events share five common fields documented below.
+
+    Reference: https://docs.daily.co/reference/rest-api/webhooks
+    """
+
+    version: NonEmptyString = Field(
+        description="Represents the version of the event. This uses semantic versioning to inform a consumer if the payload has introduced any breaking changes"
+    )
+    type: WebhookEventType = Field(
+        description="Represents the type of the event described in the payload"
+    )
+    id: NonEmptyString = Field(
+        description="An identifier representing this specific event"
+    )
+    payload: Dict[NonEmptyString, Any] = Field(
+        description="An object representing the event, whose fields are described in the corresponding payload class"
+    )
+    event_ts: int = Field(
+        description="Documenting when the webhook itself was sent. This timestamp is different than the time of the event the webhook describes. For example, a recording.started event will contain a start_ts timestamp of when the actual recording started, and a slightly later event_ts timestamp indicating when the webhook event was sent"
+    )
+
+    _normalize_event_ts = field_validator("event_ts", mode="before")(
+        normalize_timestamp_to_int
+    )
+
+
+class ParticipantJoinedPayload(BaseModel):
+    """
+    Payload for participant.joined webhook event.
+
+    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/participant-joined
+    """
+
+    room_name: NonEmptyString | None = Field(None, description="Daily.co room name")
+    session_id: NonEmptyString = Field(description="Daily.co session identifier")
+    user_id: NonEmptyString = Field(description="User identifier (may be encoded)")
+    user_name: NonEmptyString | None = Field(None, description="User display name")
+    joined_at: int = Field(description="Join timestamp in Unix epoch seconds")
+
+    _normalize_joined_at = field_validator("joined_at", mode="before")(
+        normalize_timestamp_to_int
+    )
+
+
+class ParticipantLeftPayload(BaseModel):
+    """
+    Payload for participant.left webhook event.
+
+    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/participant-left
+    """
+
+    room_name: NonEmptyString | None = Field(None, description="Daily.co room name")
+    session_id: NonEmptyString = Field(description="Daily.co session identifier")
+    user_id: NonEmptyString = Field(description="User identifier (may be encoded)")
+    user_name: NonEmptyString | None = Field(None, description="User display name")
+    joined_at: int = Field(description="Join timestamp in Unix epoch seconds")
+    duration: int | None = Field(
+        None, description="Duration of participation in seconds"
+    )
+
+    _normalize_joined_at = field_validator("joined_at", mode="before")(
+        normalize_timestamp_to_int
+    )
+
+
+class RecordingStartedPayload(BaseModel):
+    """
+    Payload for recording.started webhook event.
+
+    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/recording-started
+    """
+
+    room_name: NonEmptyString | None = Field(None, description="Daily.co room name")
+    recording_id: NonEmptyString = Field(description="Recording identifier")
+    start_ts: int | None = Field(None, description="Recording start timestamp")
+
+    _normalize_start_ts = field_validator("start_ts", mode="before")(
+        normalize_timestamp_to_int
+    )
+
+
+class RecordingReadyToDownloadPayload(BaseModel):
+    """
+    Payload for recording.ready-to-download webhook event.
+    This is sent when raw-tracks recordings are complete and uploaded to S3.
+
+    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/recording-ready-to-download
+    """
+
+    type: Literal["cloud", "raw-tracks"] = Field(
+        description="The type of recording that was generated"
+    )
+    recording_id: NonEmptyString = Field(
+        description="An ID identifying the recording that was generated"
+    )
+    room_name: NonEmptyString = Field(
+        description="The name of the room where the recording was made"
+    )
+    start_ts: int = Field(
+        description="The Unix epoch time in seconds representing when the recording started"
+    )
+    status: Literal["finished"] = Field(
+        description="The status of the given recording (always 'finished' in ready-to-download webhook, see RecordingStatus in responses.py for full API statuses)"
+    )
+    max_participants: int = Field(
+        description="The number of participants on the call that were recorded"
+    )
+    duration: int = Field(description="The duration in seconds of the call")
+    s3_key: NonEmptyString = Field(
+        description="The location of the recording in the provided S3 bucket"
+    )
+    share_token: NonEmptyString | None = Field(
+        None, description="undocumented documented secret field"
+    )
+    tracks: list[DailyTrack] | None = Field(
+        None,
+        description="If the recording is a raw-tracks recording, a tracks field will be provided. If role permissions have been removed, the tracks field may be null",
+    )
+
+    _normalize_start_ts = field_validator("start_ts", mode="before")(
+        normalize_timestamp_to_int
+    )
+
+
+class RecordingErrorPayload(BaseModel):
+    """
+    Payload for recording.error webhook event.
+
+    Reference: https://docs.daily.co/reference/rest-api/webhooks/events/recording-error
+    """
+
+    action: Literal["clourd-recording-err", "cloud-recording-error"] = Field(
+        description="A string describing the event that was emitted (both variants are documented)"
+    )
+    error_msg: NonEmptyString = Field(description="The error message returned")
+    instance_id: NonEmptyString = Field(
+        description="The recording instance ID that was passed into the start recording command"
+    )
+    room_name: NonEmptyString = Field(
+        description="The name of the room where the recording was made"
+    )
+    timestamp: int = Field(
+        description="The Unix epoch time in seconds representing when the error was emitted"
+    )
+
+    _normalize_timestamp = field_validator("timestamp", mode="before")(
+        normalize_timestamp_to_int
+    )
+
+
+class ParticipantJoinedEvent(BaseModel):
+    version: NonEmptyString
+    type: Literal["participant.joined"]
+    id: NonEmptyString
+    payload: ParticipantJoinedPayload
+    event_ts: int
+
+    _normalize_event_ts = field_validator("event_ts", mode="before")(
+        normalize_timestamp_to_int
+    )
+
+
+class ParticipantLeftEvent(BaseModel):
+    version: NonEmptyString
+    type: Literal["participant.left"]
+    id: NonEmptyString
+    payload: ParticipantLeftPayload
+    event_ts: int
+
+    _normalize_event_ts = field_validator("event_ts", mode="before")(
+        normalize_timestamp_to_int
+    )
+
+
+class RecordingStartedEvent(BaseModel):
+    version: NonEmptyString
+    type: Literal["recording.started"]
+    id: NonEmptyString
+    payload: RecordingStartedPayload
+    event_ts: int
+
+    _normalize_event_ts = field_validator("event_ts", mode="before")(
+        normalize_timestamp_to_int
+    )
+
+
+class RecordingReadyEvent(BaseModel):
+    version: NonEmptyString
+    type: Literal["recording.ready-to-download"]
+    id: NonEmptyString
+    payload: RecordingReadyToDownloadPayload
+    event_ts: int
+
+    _normalize_event_ts = field_validator("event_ts", mode="before")(
+        normalize_timestamp_to_int
+    )
+
+
+class RecordingErrorEvent(BaseModel):
+    version: NonEmptyString
+    type: Literal["recording.error"]
+    id: NonEmptyString
+    payload: RecordingErrorPayload
+    event_ts: int
+
+    _normalize_event_ts = field_validator("event_ts", mode="before")(
+        normalize_timestamp_to_int
+    )
+
+
+DailyWebhookEventUnion = Annotated[
+    Union[
+        ParticipantJoinedEvent,
+        ParticipantLeftEvent,
+        RecordingStartedEvent,
+        RecordingReadyEvent,
+        RecordingErrorEvent,
+    ],
+    Field(discriminator="type"),
+]

server/reflector/db/__init__.py

@@ -25,11 +25,13 @@ def get_database() -> databases.Database:
 
 # import models
 import reflector.db.calendar_events  # noqa
+import reflector.db.daily_participant_sessions  # noqa
 import reflector.db.meetings  # noqa
 import reflector.db.recordings  # noqa
 import reflector.db.rooms  # noqa
 import reflector.db.transcripts  # noqa
 import reflector.db.user_api_keys  # noqa
+import reflector.db.users  # noqa
 
 kwargs = {}
 if "postgres" not in settings.DATABASE_URL: